Writing this, I can’t believe how quickly the year 2017 has gone by. Also weird, we are already three weeks into 2018, unreal. Time flies when you’re having fun I guess.
The analytics report shows that the three most popular posts for 2017 are:
Writing this, I can’t believe how quickly the year 2017 has gone by. Also weird, we are already three weeks into 2018, unreal. Time flies when you’re having fun I guess.
The analytics report shows that the three most popular posts for 2017 are:
Another year. Looking at my google analytics reports I can’t help but wonder how is it that I am so bad in predicting which posts would catch audience attention. Anyhow, top three for 2016 are:
– On the 60/40 portfolio mix
– The case for Regime-Switching GARCH
– Most popular machine learning R packages
And my personal favorites:
– ASA statement on p-values
– Why bad trading strategies may perform well? Mathematical explanation
It is also an opportunity to say thank you, and to wish you a happy and productive 2017.
The top three for the year are:
Out-of-sample data snooping
Code for my yield curve forecasting paper
Review of a couple of books
I personally enjoyed the most writing a few words on ML estimation, and about those great statistical discoveries. Since the last post did not involve any code or images I initially thought it would be a breeze. I in fact spent twice the time I usually do, and it was all good fun.
In 2015 I wrote quite a bit about volatility and correlation. In 2016 I plan to learn more (so to write more) about portfolio construction.
Here (what people think) are the most interesting posts in 2013:
Understanding Multicollinearity
On p-value
Bootstrapping time series
Quantile Autoregression in R
My Own favourite:
How Important is Variable Selection?