In this latest episode of Nuggets On The Go, Melvin will be tapping onto last week’s topic on our PLB MOAT Analysis and share with you more on the other factors that we use in our PLB MOAT Analysis analytics tool. We have also come up with a unique point grading system within our analysis tool to help you rate various properties deeper.
Watch on as we talk about our new analytics tool, done by our Research and Data Team, to closely monitor market trends and have a better understanding of Singapore’s real estate market.
1 [Melvin Lim]
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-Alright, welcome back to our next episode
2 [Melvin Lim]
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of Nuggets On The Go.
3 [Melvin Lim]
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So, today we’re going to dive in further
4 [Melvin Lim]
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into our PLB MOAT analysis,
5 [Melvin Lim]
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and how our MOAT analysis helps our clients
6 [Melvin Lim]
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as well as even ourselves
7 [Melvin Lim]
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to hunt for the next correct property
8 [Melvin Lim]
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for you and your family.
9 [Melvin Lim]
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Let’s go.
10 [Melvin Lim]
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Alright, so if you have followed us on the previous episode
11 [Melvin Lim]
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we dived in a little bit deeper into the PLB MOAT analysis
12 [Melvin Lim]
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to understand a little bit about the whole entire connection
13 [Melvin Lim]
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on how valuations are being derived in Singapore,
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why is that correlated to volume and density,
15 [Melvin Lim]
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as well as the frequency and the amount of transactions
16 [Melvin Lim]
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that happen within the project itself.
17 [Melvin Lim]
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So we hope that everybody had a better understanding
18 [Melvin Lim]
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into analysis and opinion
19 [Melvin Lim]
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on how valuation metrics are being done in Singapore.
20 [Melvin Lim]
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This time round, on this particular episode,
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we want to dive in a little bit deeper
22 [Melvin Lim]
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on some of the other factors
23 [Melvin Lim]
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in our PLB MOAT Analysis analytics tool,
24 [Melvin Lim]
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as well as we want to share with you guys
25 [Melvin Lim]
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a little bit about this very interesting chart
26 [Melvin Lim]
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that we have came out from our data analytics team.
27 [Melvin Lim]
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Let me just show you on screen right now.
28 [Melvin Lim]
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So basically if you have seen our posts,
29 [Melvin Lim]
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you can head onto our Instagram or Facebook to have a look.
30 [Melvin Lim]
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So basically we shared a little bit more
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deep dive on the point grading system
32 [Melvin Lim]
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which is one of the key features of our PLB MOAT analysis.
33 [Melvin Lim]
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Because sometimes when we want to hunt for the next property,
34 [Melvin Lim]
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there are so many condo choices available
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in the particular district or estate.
36 [Melvin Lim]
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And sometimes we might be a little bit confused about
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“Hey, you know there are so many projects.
38 [Melvin Lim]
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Or maybe I really like these five projects,
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but how do I rate them even deeper?”
40 [Melvin Lim]
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And try to analyse what are some of the key factors
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that correspond to my family preferences
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or my own investment needs?
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So this grading system is meant to be a guide.
44 [Melvin Lim]
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It can be on a detailed fashion on how much you want
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to have this level of point system
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to factor into your purchase decision.
47 [Melvin Lim]
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We have these 11 factors
48 [Melvin Lim]
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that includes volume, value, density,
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which are some of the key factors
50 [Melvin Lim]
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that we talked about last week,
51 [Melvin Lim]
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as well as quantum which was in all of our previous episodes.
52 [Melvin Lim]
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When we talk about the quantum effect
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and how things have changed before 2013 and
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after 2013, which is precisely the year
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that the TDSR cooling measures came about,
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and that technically changed the configuration
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and layout plans within new launches
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which then brought on a lot of ripple effects
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into the current market situation.
60 [Melvin Lim]
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So these 11 factors are being live data fed
61 [Melvin Lim]
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into our PLB condominium MOAT analysis tool.
62 [Melvin Lim]
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Wherever when we meet up with some of our clients,
63 [Melvin Lim]
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and when we want to dive deeply into some of the projects.
64 [Melvin Lim]
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So just to give you an illustration
65 [Melvin Lim]
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on how this works in case you are curious
66 [Melvin Lim]
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about how this tool can actually help all of us
67 [Melvin Lim]
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to determine some of the scoring system.
68 [Melvin Lim]
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But of course, the disclaimer is
69 [Melvin Lim]
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that this is technically a scoring system
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based on what PLB has experienced over the past years.
71 [Melvin Lim]
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These are the exact factors that we want to consider
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even when we purchase or invest a property for ourselves.
73 [Melvin Lim]
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And thus, we think that in our own analysis method,
74 [Melvin Lim]
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we think that these are very useful analysis factors
75 [Melvin Lim]
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for everybody to consider.
76 [Melvin Lim]
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But use it to your own discretion
77 [Melvin Lim]
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as well as your own preferences.
78 [Melvin Lim]
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But most importantly is that if this is your first property
79 [Melvin Lim]
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or this is your primary residence,
80 [Melvin Lim]
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always try to balance with your family’s needs and wants.
81 [Melvin Lim]
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Always try to balance to ensure that yourself
82 [Melvin Lim]
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and your spouse and your kids,
83 [Melvin Lim]
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they are all happy, visualising
84 [Melvin Lim]
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that you can enjoy your next couple of years
85 [Melvin Lim]
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living there together as a family.
86 [Melvin Lim]
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Because most importantly,
87 [Melvin Lim]
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you guys must be happy living in your primary residence.
88 [Melvin Lim]
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Of course, when it comes to your second or third property,
89 [Melvin Lim]
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if it’s an investment property,
90 [Melvin Lim]
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we always advise our clients
91 [Melvin Lim]
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that you can fully base it on these 11 factors.
92 [Melvin Lim]
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But if it’s your primary residence,
93 [Melvin Lim]
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do balance with your family’s happiness level.
94 [Melvin Lim]
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All right, so just to give you an example,
95 [Melvin Lim]
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let’s say if I am somebody that loves to live
96 [Melvin Lim]
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near to Bedok Reservoir
97 [Melvin Lim]
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because at the strip of condominiums
98 [Melvin Lim]
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just right across the reservoir,
99 [Melvin Lim]
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currently there’s an MRT station already, it’s a Downtown line.
100 [Melvin Lim]
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And maybe I love nature, and I want to live near there.
101 [Melvin Lim]
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And maybe my families are around there,
102 [Melvin Lim]
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or I’m hunting for a school around there as well for my kids.
103 [Melvin Lim]
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And let’s say I’m comparing these six different projects.
104 [Melvin Lim]
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So let’s just take these six projects for example.
105 [Melvin Lim]
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We have Aquarius by the Park,
106 [Melvin Lim]
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a slightly more mature development.
107 [Melvin Lim]
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You have The Clearwater.
108 [Melvin Lim]
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You also have the entire Waterfront series
109 [Melvin Lim]
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from Waterfront Gold, Isle, Key, and Waves.
110 [Melvin Lim]
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You just want to see in terms of scoring, how do they fare,
111 [Melvin Lim]
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pros and cons in conjunction and comparison with each other.
112 [Melvin Lim]
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When we select these six projects,
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basically what we see on our MOAT analysis
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is that we will have a chart right here
115 [Melvin Lim]
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in terms of what we called like the power chart.
116 [Melvin Lim]
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So basically in terms of our scoring system,
117 [Melvin Lim]
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there will be different variations on the 11 projects.
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And then we take that range,
119 [Melvin Lim]
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and we develop a final score right here.
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So you can see that Aquarius by the Park,
121 [Melvin Lim]
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this is the final score.
122 [Melvin Lim]
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The Clearwater has this score.
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Waterfront Gold, as well as Waterfront Isle, Waterfront Key, and Waterfront Waves.
124 [Melvin Lim]
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The score is a combination of the 11 factors.
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But if you want to deep dive into, for example,
126 [Melvin Lim]
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the parents’ attraction factor,
127 [Melvin Lim]
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you will see that Waterfront Waves have the score of five,
128 [Melvin Lim]
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compared to Waterfront Key whom has a score of four.
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So basically you can then deep dive
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into a certain aspect to see which of the 11 factors
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have a higher priority based on your own needs.
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And this is where the beauty of this MOAT score comes about.
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Because you can deep dive into different factors,
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as well as you can reference to the final scoring factor.
135 [Melvin Lim]
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If you’re keen to find a little bit more
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about the MOAT analysis,
137 [Melvin Lim]
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basically, you can always check in
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with any of our Buyer Consultants from PLB.
139 [Melvin Lim]
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They’ll be very happy to run through this with you.
140 [Melvin Lim]
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If you’re hunting for a particular property,
141 [Melvin Lim]
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or you’re in the midst of planning to sell your home
142 [Melvin Lim]
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yet a little bit worried about your key choices
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for the next home.
144 [Melvin Lim]
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So this entire tool cover all the projects in Singapore,
145 [Melvin Lim]
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and they’re updated on a live-feed status.
146 [Melvin Lim]
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So everything is updated month-on-month basis.
147 [Melvin Lim]
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We live feed the data right here
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so to ensure that it’s always updated at any point in time.
149 [Melvin Lim]
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And now we’re going to look at this new analytics tool
150 [Melvin Lim]
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that we have just came out.
151 [Melvin Lim]
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Our PLB research and data team has done such a great job
152 [Melvin Lim]
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in always coming up with a lot of new tools
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for our audience as well as our clients.
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And this tool is fantastic
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for our broad-based research basis
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to look at some market trends,
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as well as for us to understand a little bit better
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about the market.
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Essentially what we have done
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is that we have come up with this tool
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to look at the correlation
162 [Melvin Lim]
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between private residential, landed plus non-landed
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combined into a full index,
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as well as to split them up
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into a different kind of index graph.
166 [Melvin Lim]
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And we’ve also decided to pump in the HDB price index
167 [Melvin Lim]
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together as well as all the volume of HDB,
168 [Melvin Lim]
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resale volume, new sub-sale or resale volume for non-landed,
169 [Melvin Lim]
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as well as the volume of new and resale for landed as well.
170 [Melvin Lim]
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So let’s have a look at maybe,
171 [Melvin Lim]
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shall we have a look at landed?
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All right, for those of you who are very keen
173 [Melvin Lim]
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on landed property,
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you can see what we’ll be looking at in this graph is
175 [Melvin Lim]
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that I can toggle quite a fair bit of things.
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And what we’re going to do is that we’re going to
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make this available on our PLB website in due time.
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We’ll announce to you guys
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through our social media platforms.
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And everybody can come in here, and you can manoeuvre,
181 [Melvin Lim]
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and you can play around with this tool.
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And of course, if you have any questions,
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do drop us an email into this email inbox right here.
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So I’m going to flash it up.
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So this is the official email
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for our Nuggets On The Go series.
187 [Melvin Lim]
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You can just email us at [email protected].
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If you have any questions that you would like us to answer
189 [Melvin Lim]
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in the next few subsequent episodes of Nuggets On The Go,
190 [Melvin Lim]
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just feel free to email us.
191 [Melvin Lim]
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We’re very happy to answer live questions as well.
192 [Melvin Lim]
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So coming back to the landed property chart.
193 [Melvin Lim]
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So basically we have combined the property transaction volume
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together with the price index graph.
195 [Melvin Lim]
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So I can also remove different graphs
196 [Melvin Lim]
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if I just want to look at pure landed index graph.
197 [Melvin Lim]
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And let me just do that for you.
198 [Melvin Lim]
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So basically when I toggle off the different buttons,
199 [Melvin Lim]
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what is going to happen is
200 [Melvin Lim]
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that the lines will then gradually disappear.
201 [Melvin Lim]
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And what I’m seeing right here now
202 [Melvin Lim]
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is just the landed price index.
203 [Melvin Lim]
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So landed price index, of course,
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this being derived from the data from URA and REALIS.
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What we’re seeing here right now is that you will see
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just purely landed property price transactions
207 [Melvin Lim]
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on transactions volume
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that has been lodged and paid with Buyer’s Stamp Duty.
209 [Melvin Lim]
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So that’s how you derive property transactions
210 [Melvin Lim]
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and their price index as well on a quarter-to-quarter basis.
211 [Melvin Lim]
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So we have also done it on quarter-to-quarter basis
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all the way starting from the year 2000 until the year 2022.
213 [Melvin Lim]
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So these are a full 22 years kind of data point.
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Basically what we can see
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is that there’s some generic trends
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that we can all observe.
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00:08:32,120 –> 00:08:35,240
Notice that when prices are coming down,
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00:08:35,240 –> 00:08:38,320
and this is basically derived from the year 2013.
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00:08:38,320 –> 00:08:40,440
So 2013 was actually a very big hit
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00:08:40,440 –> 00:08:42,080
to most of the market price index
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00:08:42,080 –> 00:08:44,960
because not just the landed property price index came down.
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00:08:44,960 –> 00:08:46,600
Basically non-landed price index
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00:08:46,600 –> 00:08:48,720
also had the same behaviour trend.
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00:08:48,720 –> 00:08:50,480
And later we can have a look at the behaviour trend,
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00:08:50,480 –> 00:08:52,200
or maybe I just toggle it down for you right here.
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As you can see,
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00:08:53,000 –> 00:08:56,000
non-landed price index also has a dip down here from 2013
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because these cooling measures that happened in 2013.
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00:08:58,240 –> 00:09:00,480
Basically the total debt servicing ratio
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00:09:00,480 –> 00:09:02,120
was a huge thing in the market.
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00:09:02,120 –> 00:09:04,440
Everybody took time to get used to this.
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Developers took time to get used to this
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on how they configured that next new launch.
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As well as the ABSD which has a dramatic effect on this as well.
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When this came down
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you’ll notice two very significant thing.
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00:09:14,040 –> 00:09:16,520
The most significant observation is that you will notice
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that when price comes down, volume dips.
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00:09:19,840 –> 00:09:20,680
And why is that so?
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Is that there’s this thing called distortion effect.
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So for distortion effect,
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00:09:24,920 –> 00:09:27,360
I gave a brief explanation on the last episode as well,
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00:09:27,360 –> 00:09:30,040
but in detail is that distortion effect
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happens usually in the stock market.
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00:09:31,760 –> 00:09:35,040
Is that when prices fall and prices rise for certain stocks,
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investors tend to liquidate and exit those stocks
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00:09:38,920 –> 00:09:40,280
that made a paper gain
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00:09:40,280 –> 00:09:41,520
instead of those that made a paper loss.
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00:09:41,520 –> 00:09:43,480
In hope that the stocks that made a paper loss
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00:09:43,480 –> 00:09:45,880
they can U-turn and come back and make a gain again.
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00:09:45,880 –> 00:09:48,800
But by right, the rational investors did study
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00:09:48,800 –> 00:09:50,080
that two stocks and by right
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00:09:50,080 –> 00:09:52,240
if let’s say the stock is not performing well
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00:09:52,240 –> 00:09:54,760
it has dropped in price due to fundamental reasons,
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then most of the time, it might be more wiser
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00:09:57,080 –> 00:09:59,160
or it might be more fundamentally rational
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to actually keep the winning stock
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00:10:01,080 –> 00:10:02,560
and exit from the losing stock
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00:10:02,560 –> 00:10:04,640
and then pump the balance money into the winning stock
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00:10:04,640 –> 00:10:06,200
instead for it to continue rising.
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00:10:06,200 –> 00:10:08,360
However, when it comes to real estate,
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the distortion effect has another kind of behaviour
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in the sense that because real estate is fundamentally
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more illiquid than stocks and equity.
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00:10:16,560 –> 00:10:17,360
Why is it illiquid
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is that because in Singapore,
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firstly there are two tiers of illiquidity.
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00:10:20,640 –> 00:10:22,040
The first tier of illiquidity
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is that real estate by itself,
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00:10:23,280 –> 00:10:24,920
by and large, for every property transaction
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you need time to purchase and exit
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00:10:27,040 –> 00:10:28,480
on top of having to market the place.
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00:10:28,480 –> 00:10:30,800
You need the property transaction of two to three months
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for it to take place at the law firm, CPF board, URA,
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00:10:33,680 –> 00:10:34,680
SLA and stuff like that.
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So fundamentally as an asset class,
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it is more illiquid than equity
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which you can just exit the next day.
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00:10:40,840 –> 00:10:43,080
The second level of illiquidity comes
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00:10:43,080 –> 00:10:44,600
from the onset of cooling measures.
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00:10:44,600 –> 00:10:45,680
Because with cooling measures,
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00:10:45,680 –> 00:10:47,680
you have that blackout period for the Seller’s Stamp Duty
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00:10:47,680 –> 00:10:50,040
the moment you buy residential property, three years,
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00:10:50,040 –> 00:10:51,400
if you sell, you’ll be taxed Seller’s Stamp Duty.
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00:10:51,400 –> 00:10:54,360
Thus, everybody is demotivated to sell
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00:10:54,360 –> 00:10:55,680
within the first three years,
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00:10:55,680 –> 00:10:58,120
that then increases the illiquidity,
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00:10:58,120 –> 00:11:00,480
and it also increases the stability
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00:11:00,480 –> 00:11:03,600
of real estate itself in Singapore, which is a good thing.
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00:11:03,600 –> 00:11:06,680
However, when prices drop because of distortion,
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00:11:06,680 –> 00:11:09,360
effect, it demotivates everybody to sell.
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00:11:09,360 –> 00:11:12,160
Because now I’m holding let’s say example a landed property.
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00:11:12,160 –> 00:11:13,360
I’m happy staying here.
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00:11:13,360 –> 00:11:16,760
If I know that there’s economic kind of change in the market
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00:11:16,760 –> 00:11:18,880
or maybe because of TDSR and things like that,
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00:11:18,880 –> 00:11:19,960
prices start to come down,
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00:11:19,960 –> 00:11:21,880
then all the more I’m not motivated to sell.
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00:11:21,880 –> 00:11:23,720
And that is also part of the distortion effect
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00:11:23,720 –> 00:11:26,280
because I will only be more motivated to sell
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00:11:26,280 –> 00:11:30,160
when I see this up-trend movement of my landed property.
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00:11:30,160 –> 00:11:32,080
Because when I see the up-trend movement,
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00:11:32,080 –> 00:11:35,000
I will be more motivated to sell to realise that gain,
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00:11:35,000 –> 00:11:37,600
that paper gain that is lock in profits under my home.
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00:11:37,600 –> 00:11:39,240
I want to exit, take that profit,
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00:11:39,240 –> 00:11:40,280
and maybe buy a bigger home,
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00:11:40,280 –> 00:11:42,520
or maybe buy two properties instead
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00:11:42,520 –> 00:11:43,880
of just holding onto one property.
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00:11:43,880 –> 00:11:45,080
So technically speaking,
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00:11:45,080 –> 00:11:46,880
when I see an uptrend, distortion effect
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00:11:46,880 –> 00:11:49,880
also kicks in for the real estate property owners
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00:11:49,880 –> 00:11:52,000
because then I’ll be more motivated to sell.
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00:11:52,000 –> 00:11:53,840
Which is why when you see this upline graph,
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00:11:53,840 –> 00:11:56,160
the volume technically picks up here,
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00:11:56,160 –> 00:11:59,240
and that is an example of distortion effect.
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00:11:59,240 –> 00:12:00,800
Now let’s also then pump in
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00:12:00,800 –> 00:12:03,240
the non-landed private residential properties
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00:12:03,240 –> 00:12:05,560
which are technically the condominiums and apartments.
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00:12:05,560 –> 00:12:07,920
So as you can see, they have the same effect.
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00:12:07,920 –> 00:12:09,720
And if I want to look at the private residential volume,
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00:12:09,720 –> 00:12:10,920
I just toggle on here.
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00:12:10,920 –> 00:12:13,400
So as you can see in terms of volume as well
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00:12:13,400 –> 00:12:15,720
when the price index falls,
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00:12:15,720 –> 00:12:18,400
private non-landed index actually dips
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00:12:18,400 –> 00:12:20,200
in terms of the TDSR effect
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00:12:20,200 –> 00:12:23,400
after 2013. You can see that our volume drops dramatically
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00:12:23,400 –> 00:12:25,760
in terms of resale and new sale.
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00:12:25,760 –> 00:12:29,000
And when price started to pick up ever since 2016
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00:12:29,000 –> 00:12:30,040
all the way to today,
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00:12:30,040 –> 00:12:32,280
basically volume also technically increases.
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00:12:32,280 –> 00:12:34,520
You can also see this slight dip right here
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00:12:34,520 –> 00:12:35,600
because during this season
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00:12:35,600 –> 00:12:38,440
we have technically a lack of supply
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00:12:38,440 –> 00:12:42,440
in the sense that 2017 to 2018 was like the en bloc season.
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00:12:42,440 –> 00:12:44,120
So there were lesser launches right there.
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00:12:44,120 –> 00:12:44,960
And then after that,
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00:12:44,960 –> 00:12:46,840
it fundamentally just pick up and all the way until today
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00:12:46,840 –> 00:12:48,640
because of the pandemic from year 2020.
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00:12:48,640 –> 00:12:51,280
So this distortion effect also applies right here.
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00:12:51,280 –> 00:12:53,440
Now, one other observation that we can notice is,
340 [Melvin Lim]
00:12:53,440 –> 00:12:55,440
let me just bring out the HDB graph
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00:12:55,440 –> 00:12:57,040
which is very interesting.
342 [Melvin Lim]
00:12:57,040 –> 00:12:59,280
What has technically happened as well
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00:12:59,280 –> 00:13:02,400
ever since 2017 quarter three
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00:13:02,400 –> 00:13:04,800
is that we are seeing this chasm gap also
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00:13:04,800 –> 00:13:07,480
not just between landed and non-landed,
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00:13:07,480 –> 00:13:10,360
but between non-landed private residential
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00:13:10,360 –> 00:13:12,200
and HDB price index.
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00:13:12,200 –> 00:13:15,400
So there’s this escape in terms of HDB price index
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00:13:15,400 –> 00:13:17,320
from sticking in together
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00:13:17,320 –> 00:13:19,520
with the HDB price index right here.
351 [Melvin Lim]
00:13:19,520 –> 00:13:22,440
So technically speaking, starting from 2017 Quarter Three,
352 [Melvin Lim]
00:13:22,440 –> 00:13:26,080
the private property market has this invisible chasm,
353 [Melvin Lim]
00:13:26,080 –> 00:13:29,280
invisible gap, in between these two different asset classes.
354 [Melvin Lim]
00:13:29,280 –> 00:13:30,560
Now, what does this mean as well
355 [Melvin Lim]
00:13:30,560 –> 00:13:32,120
is that there are two observations.
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00:13:32,120 –> 00:13:35,000
Firstly, this flee, or this chasm gap,
357 [Melvin Lim]
00:13:35,000 –> 00:13:38,720
has technically mean that perhaps Singaporeans, ourselves,
358 [Melvin Lim]
00:13:38,720 –> 00:13:39,520
or most of the buyers.
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00:13:39,520 –> 00:13:42,120
Because most of the buyers that happened after the increment,
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00:13:42,120 –> 00:13:44,440
in ABSD technically, a lot of transactions in Singapore,
361 [Melvin Lim]
00:13:44,440 –> 00:13:46,320
more than 80% of transactions in Singapore,
362 [Melvin Lim]
00:13:46,320 –> 00:13:49,000
quarter-on-quarter, are made by Singaporeans ourselves.
363 [Melvin Lim]
00:13:49,000 –> 00:13:51,560
So you can see that perhaps after 2017,
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00:13:51,560 –> 00:13:53,240
and also I think that was the season
365 [Melvin Lim]
00:13:53,240 –> 00:13:56,120
in conjunction with all the news and debates and topics
366 [Melvin Lim]
00:13:56,120 –> 00:13:58,320
about 99-year HDB coming to zero.
367 [Melvin Lim]
00:13:58,320 –> 00:14:00,360
The realisation of that after balance
368 [Melvin Lim]
00:14:00,360 –> 00:14:02,880
60-year lease, withdrawal limits start to kick in
369 [Melvin Lim]
00:14:02,880 –> 00:14:03,840
and stuff like that.
370 [Melvin Lim]
00:14:03,840 –> 00:14:05,480
Then perhaps there was this flee,
371 [Melvin Lim]
00:14:05,480 –> 00:14:07,240
and the more appreciation
372 [Melvin Lim]
00:14:07,240 –> 00:14:09,880
of private properties in terms of condos and apartments.
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00:14:09,880 –> 00:14:13,360
And we also seeing a rise in HDB upgraders
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00:14:13,360 –> 00:14:15,400
moving upwards towards private property.
375 [Melvin Lim]
00:14:15,400 –> 00:14:18,480
So which then might have gave rise to this chasm gap.
376 [Melvin Lim]
00:14:18,480 –> 00:14:20,240
And of course the second observation is
377 [Melvin Lim]
00:14:20,240 –> 00:14:22,280
that at the fundamental level,
378 [Melvin Lim]
00:14:22,280 –> 00:14:24,280
these two are still in line
379 [Melvin Lim]
00:14:24,280 –> 00:14:28,320
and run almost parallel ever since 2020.
380 [Melvin Lim]
00:14:28,320 –> 00:14:30,560
So 2020 also has a different kind of effect
381 [Melvin Lim]
00:14:30,560 –> 00:14:32,960
that happened for HDB vis-a-vis private
382 [Melvin Lim]
00:14:32,960 –> 00:14:35,400
is that firstly, HDB also came under pressure
383 [Melvin Lim]
00:14:35,400 –> 00:14:37,960
in terms of its resale market because of pandemic.
384 [Melvin Lim]
00:14:37,960 –> 00:14:41,320
There was a delay in the construction timeframe of BTOs
385 [Melvin Lim]
00:14:41,320 –> 00:14:44,240
which then also gave rise to a huge influx of buyers
386 [Melvin Lim]
00:14:44,240 –> 00:14:45,480
buying HDB properties.
387 [Melvin Lim]
00:14:45,480 –> 00:14:48,160
Secondly, it was also because private property prices
388 [Melvin Lim]
00:14:48,160 –> 00:14:50,840
were rising way faster in terms of overall price quantum
389 [Melvin Lim]
00:14:50,840 –> 00:14:51,960
than HDB property (prices).
390 [Melvin Lim]
00:14:51,960 –> 00:14:54,000
And that created sort of like a gap
391 [Melvin Lim]
00:14:54,000 –> 00:14:55,600
between the affordability level.
392 [Melvin Lim]
00:14:55,600 –> 00:14:57,440
So perhaps a lot of HDB upgraders,
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00:14:57,440 –> 00:14:58,960
or maybe first-time HDB buyers,
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00:14:58,960 –> 00:15:00,560
or maybe first-time private property buyers,
395 [Melvin Lim]
00:15:00,560 –> 00:15:01,560
they actually wanted to get
396 [Melvin Lim]
00:15:01,560 –> 00:15:02,760
into the private property market.
397 [Melvin Lim]
00:15:02,760 –> 00:15:06,080
But because of the price escape of private property prices,
398 [Melvin Lim]
00:15:06,080 –> 00:15:08,800
they then fall back on HDB apartments
399 [Melvin Lim]
00:15:08,800 –> 00:15:11,000
because generally HDB apartments are bigger in size
400 [Melvin Lim]
00:15:11,000 –> 00:15:11,840
and things like that.
401 [Melvin Lim]
00:15:11,840 –> 00:15:13,760
And thus, that also increase the amount
402 [Melvin Lim]
00:15:13,760 –> 00:15:16,360
of transaction volume for HDB resale prices
403 [Melvin Lim]
00:15:16,360 –> 00:15:18,920
in conjunction with the delay in construction of BTO flats.
404 [Melvin Lim]
00:15:18,920 –> 00:15:21,600
Then we can see probably this sharp rise
405 [Melvin Lim]
00:15:21,600 –> 00:15:24,200
that runs parallel to the private property price index.
406 [Melvin Lim]
00:15:24,200 –> 00:15:26,480
So if I were to put these three graphs together,
407 [Melvin Lim]
00:15:26,480 –> 00:15:27,560
this is what we see.
408 [Melvin Lim]
00:15:27,560 –> 00:15:29,280
Three of them run almost parallel.
409 [Melvin Lim]
00:15:29,280 –> 00:15:30,480
But the very clear-cut thing
410 [Melvin Lim]
00:15:30,480 –> 00:15:33,440
is that landed prices actually has technically created
411 [Melvin Lim]
00:15:33,440 –> 00:15:36,160
that chasm ever since Lehman Brothers recovery
412 [Melvin Lim]
00:15:36,160 –> 00:15:37,640
in 2009, 2010.
413 [Melvin Lim]
00:15:37,640 –> 00:15:38,600
It has never touched
414 [Melvin Lim]
00:15:38,600 –> 00:15:40,520
private property price index ever again.
415 [Melvin Lim]
00:15:40,520 –> 00:15:42,840
The second chasm was in 2017
416 [Melvin Lim]
00:15:42,840 –> 00:15:44,480
where condo and apartment prices
417 [Melvin Lim]
00:15:44,480 –> 00:15:46,920
has never touched HDB prices ever again.
418 [Melvin Lim]
00:15:46,920 –> 00:15:50,680
So thus, we have this two new chasm gaps that has been created.
419 [Melvin Lim]
00:15:50,680 –> 00:15:53,320
If I were to go to HDB volume, very interestingly,
420 [Melvin Lim]
00:15:53,320 –> 00:15:55,520
you can also see a very similar trend
421 [Melvin Lim]
00:15:55,520 –> 00:15:58,000
when the HDB index sort of came down.
422 [Melvin Lim]
00:15:58,000 –> 00:16:00,720
So basically it also shares a little bit pf similarities
423 [Melvin Lim]
00:16:00,720 –> 00:16:03,480
that when price increase, volume increase.
424 [Melvin Lim]
00:16:03,480 –> 00:16:05,600
When price dip, volume dip.
425 [Melvin Lim]
00:16:05,600 –> 00:16:07,080
Same scenario, if let’s say
426 [Melvin Lim]
00:16:07,080 –> 00:16:08,560
somebody is holding a HDB apartment,
427 [Melvin Lim]
00:16:08,560 –> 00:16:11,720
they see the newspaper, price index increasing,
428 [Melvin Lim]
00:16:11,720 –> 00:16:12,560
volume is increasing,
429 [Melvin Lim]
00:16:12,560 –> 00:16:13,640
price is increasing,
430 [Melvin Lim]
00:16:13,640 –> 00:16:15,400
I’ll be more motivated to sell,
431 [Melvin Lim]
00:16:15,400 –> 00:16:18,080
realise my profit that’s trapped under my HDB apartment.
432 [Melvin Lim]
00:16:18,080 –> 00:16:21,160
So because that gave me an extra bandwidth of profit
433 [Melvin Lim]
00:16:21,160 –> 00:16:23,160
for me to upgrade to a private property.
434 [Melvin Lim]
00:16:23,160 –> 00:16:26,040
So the distortion effect applies technically
435 [Melvin Lim]
00:16:26,040 –> 00:16:27,920
to all three markets in Singapore.
436 [Melvin Lim]
00:16:27,920 –> 00:16:29,680
And we have come to the end of this episode.
437 [Melvin Lim]
00:16:29,680 –> 00:16:31,400
So we hope that you had enjoyed this episode
438 [Melvin Lim]
00:16:31,400 –> 00:16:32,400
of Nuggets On The Go.
439 [Melvin Lim]
00:16:32,400 –> 00:16:33,960
Hope that you also stay in tune
440 [Melvin Lim]
00:16:33,960 –> 00:16:36,000
with the next upcoming episode as well,
441 [Melvin Lim]
00:16:36,000 –> 00:16:38,160
as we share with you more updates about the market
442 [Melvin Lim]
00:16:38,160 –> 00:16:39,360
and also chat a little bit more
443 [Melvin Lim]
00:16:39,360 –> 00:16:41,240
about investing in real estate in Singapore.
444 [Melvin Lim]
00:16:41,240 –> 00:16:42,120
So my name is Melvin Lim.
445 [Melvin Lim]
00:16:42,120 –> 00:16:43,080
Thank you for staying tuned with us.
446 [Melvin Lim]
00:16:43,080 –> 00:16:46,280
If you want to enjoy Nuggets On The Go, on the go,
447 [Melvin Lim]
00:16:46,280 –> 00:16:47,480
do tune in and subscribe
448 [Melvin Lim]
00:16:47,480 –> 00:16:49,600
and download our episodes from Spotify
449 [Melvin Lim]
00:16:49,600 –> 00:16:51,160
as well as Apple iTunes.
450 [Melvin Lim]
00:16:51,160 –> 00:16:52,440
And we hope to see you on the next one.
451 [Melvin Lim]
00:16:52,440 –> 00:16:53,160
Cheers.
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