Why Statements Like “Mont Kiara Is Oversupplied” Is Usually Baloney
October 31, 2014 By Khai Yin 35 Comments
Check out my shiny tongue!
Every Malaysian and his chihuahua has got a opinion on where to invest in property. In fact, it’s hard for me to go to a mamak shop nowadays without overhearing conversations about “where is the next property hot area” and stories about someone’s sister-in-law made five figure commissions last month by flipping a high end condo. Indeed, property is one of those topics where every Malaysian thinks that he’s an expert!
On the other hand, despite GoodPlace’s stature as, ahem, the #1 property blog in Malaysia (Google says it!), I’ve never claimed to be an expert in property. Most (all) of my guides are written based on the experiences of the other people I know who have made the riches in the property world by virtue of their proverbial blood, sweat and tears. These are the people who are rich but NOT famous (by design) – as opposed to charlatans who “make” themselves famous so that they can get rich.
And to me, these people are more inspiring than the ‘property tycoon’ wannabe who inherited his Daddy’s business at the tender age of 22 ¼. Just sayin’.
Yes, he did.
Yes, he did.
Opinions Are Like An Asshole, Everyone Has Got One!
I try not to talk about property and business outside of GoodPlace (especially during family reunions!) because my views are often run contrary with what most people believe (for example, this). I used to just laugh off poorly formed opinions, but now I get into murderous Hulk-like rage when I hear truisms like “prices of property will always go up” or “buy more land because they’re not making more of it” or “it’s all about location, location and location“.
Khai Yin's rage
Most GoodPlace readers know that I am pretty hot about Mont Kiara – it’s a nice neighbourhood with near-excellent walkability. In fact, I liked the place so much I produced a Buyer Guide (you can check it out here) which has since been downloaded over 1,000+ times to date. Indeed, I am pretty bullish about Mont Kiara.
Since publishing the guide, I’ve received many emails asking me if I was nucking futs:-
•“Khai Yin, are you nucking futs?”
•“The place is overdeveloped, dude.”
•“Way overpriced. Prices will come down soon enough!” Schadenfreude much? – KY
•“Oversupply situation is pretty bad.”
•“Bad occupancy rate. I heard that [condo name] is practically abandoned.”
The notion that Mont Kiara is overdeveloped/overpriced/oversupplied has been floating around for a good number of years now. For me to stick my neck out and say that “there’s no glut in Mont Kiara” would probably make me as popular as Ibrahim Ali at a Bersih rally. But I’ve done my homework, and I must tell the truth no matter how unpopular it is. There’s no glut in Mont Kiara.
And the next time you hear a “fact” about Malaysia property which gets bandied around like the gospel, remember to put your BS detector up!
chinese-whispers_mini
How To Check If There’s Oversupply In Mont Kiara (Or Anywhere Else)
Now if you’re wondering that the fuss is all about when it comes to the issue of oversupply: here’s why this is important. Property prices (both in the sub sale and rental market) are a function of both supply and demand, and by looking at the levels of both one can “read the market” and make reasonably good predictions about price movements.
Read about how to time the market in this guide.
The problem here is that obtaining “official” supply and demand data in Malaysia is slow, and frankly, a real pain in the butt. I’ve given trying to get timely data feeds from those in the know, and I have hacked up my own method on estimating supply and demand levels purely from publicly available sources available online.
Estimating Supply Levels
Supply levels can be gauged by collecting data from the top three property portals (you know what they are). You can plot out the trend of supply for the property of choice by doing the following:-
1.Do a search for the property name (or area). Also indicate the time period if available (day, week or month) as well as the agent name.
2.Perform the search for all three property portals.
3.Clean up the list by de-duplicating the listings (by identifying the agent name) as well as filtering out fake ads. I personally remove ads which are priced out of whack (typically +/-10% of the mean asking price).
Repeat the above three steps for a period of time (say, three months). At the same time, collate demand data using the methods outlined below.
Estimating Demand Levels
Figuring out demand is even trickier than supply because property sites are not inclined to share this data with its users. However, we have found that Prop Wall shows user views of each listings which can be a good surrogate to the actual searches done by home buyers. See the screen caps below:-
marc-residence-pw_mini
It has been about 37 days since this ad was posted on Prop Wall, and it has garnered some 613 views. This translates to about 16 views a day. Repeat this for a good sample and you will get a fair representation of how “good” (or bad) the demand for this particular property is.
There is, however, a couple of pitfalls associated with this method:-
1.Prop Wall is #3 in terms of usage (according to SimilarWeb) which means that the sample may not be representative.
2.A single user will probably visit a couple of listings which mean that the estimation may be off by a factor of 3-5 times at least.
3.You need to trust Prop Wall’s numbers (that’s all I am saying. Make your own conclusions).
I have another method (with much better accuracy) which involves querying Google and estimating search volumes by doing some sophisticated analysis on the backend. I am not outing this method because, well, it’s proprietary, and you’ll also need a site with large enough footprint (I do) to get meaningful numbers from Google. If you’re interested and you’re more technically inclined than the average Joe, then let me know and I’ll share this method with you (over email).
Once you’ve collated both supply and demand numbers then you’ll need to work your statistical wizadry to draw conclusions. For example, the chart below shows the stacked supply vs demand charts for Kiaramas Cendana for the past few months:-
Kiaramas Cendana Prices
As you can see, the supply levels for this condominium remains rather flat for the past few months while demand is dipping at a fairly slow rate. As such, “oversupply” won’t be a tag that I will slap on Kiaramas Cendana, and looking at the trends, prices are likely NOT to budge much at least until early 2015.
With data sets like this, you also won’t be pressured into making decisions that you’ll regret later (Buy now! GST will make everything more expensive by 15% at least!). As we have repeated this mantra countless of times here at GoodPlace: trust the numbers, not your gut.
But Khai Yin, this sounds like an awful lot of work…
… and it’s true – it’s also mind-numbingly boring and tedious as hell. I’m not going to pretend that this is a trivial exercise because it’s not!
This is nevertheless a good thing – because it means that those who are willing to do a bit of work will have an edge over those who don’t. Case in point: if you’d look at Melanie’s business model (the subject of my past two blog posts here and here), her ideas were nothing new, but her “secret sauce” was her ability to automate the laborious work involved and as a result, she created a profitable, multi-million dollar business while remaining essentially a one-person show.
For the past couple of months we have been cracking our brains here at GoodPlaceHQ trying to figure out how to fully automate the process of collecting online data (like what we have done to calculate GoodPlace Walkability Scores). As a result, we have built a piece of technology that collates (in hacker-speak, “parses“) online data on supply and demand for specific properties (i.e. Binjai On The Park) as well as areas (i.e. KLCC). The data is then processed to calculate the Saturation Index which will represent the degree of “saturation” of a property in terms of supply.