Forum Replies Created
- November 19, 2020 at 10:04 am in reply to: Holding the selection during switching [tabs] functions [Planned] #27047
Bumping this up due to a duplicate request- https://www.htag.com.au/forums/topic/transfer-of-chosen-suburbs/
We are working on a new site layout that will ensure the persistence of suburb context throughout the pages(s).
ETA January 2021
This request was already raised by another user here: https://www.htag.com.au/forums/topic/holding-the-selection-during-switching-tabs-functions/
This request will be closed as a duplicate.
I recommend to first go through existing open requests and comment on them instead of raising new requests in the future.
We did have this request raised by another user, so I see a common theme and interest here.
Before I pass this request on to our dev team, I wanted to test with you how this might work.
The shortlist table will be based on a number of components:
- Ability to delete (or hide rows) in the table
- Ability to edit rows of table to take notes
- Ability to mark multiple rows of interest via a checkbox
- All of the above will persist for the duration of the user session
I believe these should essentially enable the shortlist feature you’re after. To visualise this, go to https://editor.datatables.net/examples/inline-editing/simple
If you can get back to me and let me know if this is how you pictured this? Are there other components you can think of?
Note that Sales/Households ratio seems to be a priority. FYI – https://www.htag.com.au/forums/topic/deman-feature/
You raised a similar request in the past – https://www.htag.com.au/forums/topic/consumer-confidence-feature/
I have updated the earlier request and added the sales/household ratio feature to it.
This request will be closed as a duplicate.
The dev team has picked this request up. Note that the suburbs will be sorted alphabetically in dropdown lists in forecasts and GRC tabs.
Default sort order on the ranking table is by confidence and capital growth (or yield on lower-tier subscriptions), so this is a non-issue for ranking tables.
There are 3 requests here.
Can I ask that you raise each one via a separate topic? I will then comment on each one individually.October 27, 2020 at 12:49 pm in reply to: Impact of COVID-19 on the property market in Australia #26442
Here is the link to the article – https://www.htag.com.au/covid-19-impact-on-australian-property-market/
Main call out is the decrease in listings throughout the country. Since the article was published the listings are slowly returning back to pre-lockdown level (with the exception of Melbourne).
There is a noticeable uptick in vacancy rates in CBD suburbs as well as moderate median price decline in the same suburbs.
A very intersting question. We do have correlation data for median values of all suburbs in the country. What you are looking for is a significant negative correlation between 2 or more markets. Happy to share some examples here.
Just out of interest, how do you envisage putting this information to use? Are you looking to establish which suburbs have opposite cycles and predict peaks and bottoms in opposing markets?
The latest data shows that the sales did not rebound to the levels seen in the first 3 months of 2020. The number of sales is flat-lining at around 20% below the 2019 average.
Chart above is taken from the updated Kaggle notebook here: https://www.kaggle.com/alexfedoseev/covid-19-impact-on-australian-property-market/
P.S. Unless you are a data geek like me, ignore the code and only look at the charts.May 28, 2020 at 8:42 pm in reply to: Reason for not using “fundamental” variables in your analysis #25393
Before I answer your question, I need to explain the foundational principles of the HtAG methodology.
- We collect Australian property market data via a Web Crawler which systematically browses major real estate portals and agent sites in the country and indexes past sales, current listing and rental data. This means that there is minimal lag in our data.
- We train our model using a combination of historical and recent (days and weeks) sales data to produce the median values and forecasts. Recent data is given higher weightage than the historical data for forecasting.
- Property market is cyclical. It is also an amalgamation of many different submarkets that have complex inter-relationships with each other. These inter-relationships (spill-over effect) and referent submarket cycles are fed as additional inputs into our model.
Our philosophy is simple: apply methodology that produces the best outcome. We conducted numerous tests and found that external variables (used as regressors) have no material impact on the accuracy of our model. What we did find, however, was that the cyclicity and spill-over effect paradigms, when applied correctly, produce the best results.
Here are some of the “fundamental” external variables that were tested: Population, Unemployment, Building Approvals, Stock on Market, Migration etc.
Having said all of the above, we are strong advocates of the common sense. Although our model was tested and proven, it is not a crystal ball and has the following error rate:
- High Confidence: error <5%
- Medium Confidence: error <10%
- Low Confidence: error <15%
We developed our methodology with a view that it will simplify property market research and minimise the need for fundamental analysis. However, our team recommends that fundamental analysis is always performed in localities tagged as “low confidence”.
I agree with you that there are other factors than the number of people at inspections and auctions. Particularly prospective buyers deciding to ‘wait out’ and observe the COVID situation.
There is also a considerable time lag between an inspection, prospect buyer making an offer and the sale taking place. Restrictions pretty much blocked the first link in this chain of events. As restrictions are easing we expect the sales to ramp up gradually with a lag of approximately 2-3 weeks.
In fact you can see that it took 2 weeks for the sales volume to reduce after the restrictions were imposed. It is reasonable for the reverse to occur 2 weeks after the restrictions are eased.
I will publish an updated chart in 1-2 weeks for better clarity.
This question has already been answered on this forum – https://www.htag.com.au/forums/topic/commercial-data/October 8, 2019 at 1:45 pm in reply to: Login but can’t see premium tier charts and maps [Resolved] #21437
I am sorry to hear you are having issues.
We cache our pages so that they load faster. Sometimes the cache retains the free-tier version of the page you previously visited after you login. If you experience this, just hit the refresh button in your browser and the issue should resolve itself.
Let me know if you have any further questions.
Thanks for the suggestion, Joey. We’ve added this to our pipeline.