How To Analyse A Property Market Interview with Jeremy Sheppard

Published: Jan. 20, 2016, 2 a.m.

b'ARVE Error: Mode: lazyload not available (ARVE Pro not active?), switching to normal mode\\n\\n\\n\\n\\n\\n\\n\\n\\n{"@context":"http:\\\\/\\\\/schema.org\\\\/","@id":"https:\\\\/\\\\/onproperty.com.au\\\\/how-analyse-property-market-interview-jeremy-sheppard\\\\/#arve-youtube-bjlym_sm6i4659a0b2e8db84254591135","type":"VideoObject","embedURL":"https:\\\\/\\\\/www.youtube-nocookie.com\\\\/embed\\\\/bJlyM_sM6I4?feature=oembed&iv_load_policy=3&modestbranding=1&rel=0&autohide=1&playsinline=0&autoplay=0"}\\n\\n\\n\\nAnalysing a property market and understand what areas are likely to grow can be difficult. In this interview with Jeremy Sheppard from DSRdata.com.au we learn how to use data to find the best places to invest.\\n\\nOne of the hardest things to do as a property investor is to know how to analyse a property market. We can look at so many different suburbs. We can look at different cities. But it\'s really difficult to know \\u2013 is that area actually going to grow in value or is it going to stay stagnant or decline?\\n\\nSo, today, I did an interview with Jeremy Sheppard from dsrdata.com.au. He is my go-to person when it comes to understanding how data impacts our view on a suburb and impacts whether we think a suburb is likely to grow or not.\\n\\nThere\'s a lot of people out there touting wisdom about population growth and income statistics and all of this sort of stuff, but often, the advise they give is actually wrong. And Jeremy has his counterintuitive approach where he really looks at the data, really understands what the data means and how it\'s going to affect a suburb. And he displays all the data for free over at dsrdata.com.au.\\n\\nSo today, I got on the line with him and we discussed a whole bunch of things about how to analyse a property market. We looked at a lot of different things. Originally, I was going to break this up, but it was such a good interview, I decided to leave it all together. Here\'s a short list of some of the things that we\'re going to discuss.\\n\\nWe look at the DSR Data story, so why did he start DSR Data? What\'s so great about demand and supply and why is that important? We look at is capital growth sustainable? One of the things people say is if an area has grown in the past, it\'s going to grow in the future. That may not actually be true. We look at how to analyse a property market using his tool and using other data. We look at whether or not population growth causes capital growth and the answer is, no, it actually doesn\'t, but we talk about that.\\n\\nWe look at whether or not the property clock is a bogus idea. I really like this part of the interview where we talk about whether or not we think the property clock actually has merit, or is there a better way to look at things? We also talk about how to estimate the peak of a market, so we\'re not buying at the peak and then prices drop. We also talk about why we may not actually need to buy properties under market value.\\n\\nWe discuss a whole bunch of other different things as well, but I\'ll leave it with you for now. Here\'s the interview with Jeremy Sheppard from dsrdata.com.au.\\n\\nRyan: Okay. Well, let\'s start. So how did you get into property analysis, data analysis or suburbs? What caused you to start your site DSR Data?\\n\\nJeremy: First of all, getting into the data. I found myself spending a lot of time researching and I also wanted to keep things objective. I knew that a numerical basis for property investing is a good idea for objectivity because the numbers don\'t have emotions and it helps me keep my emotions out and prevents me from making subjective decisions. But the other issue was that I wanted to buy in the best places in Australia and there\'s nearly 16,000 suburbs.\\n\\nSo, how do you go about filtering that down? Having an automated tool just zips through all of them, looking for at least some positivity in certain statistics. That, to me, it just struck a cord and I found myself gathering the same sort of data all the time for individual suburbs,'