It’s time to get back to talking about quant portfolios. I haven’t posted on any quant related stuff in a while. Doesn’t mean anything. I’ve just been focused on other things. And my quant portfolios require very little maintenance so once they’re up and running there is not much to Read more…
In quant investing there is always an urge to continuously look for ways to improve a model. Trying better ways of doing things can be a worthy and profitable endeavor. After all, markets do change. You learn new things, etc… But it can also be fraught with pitfalls. Data mining is a Read more…
Recently, Jim O’Shaughnessy, the author of What Works On Wall Street, took to Twitter with his first tweet storm (basically a short post in a series of tweets). In it he spoke about his thoughts on active management. I thought I should capture it for future reference. I’ll add comments Read more…
Any investment strategy that is not ‘the market’ will experience periods of under performance. Sometimes quite extended like value investing in the late 90s. How an investor handles those periods of underperformance goes a long way to determining whether they have any chance of outperforming the averages over time. In Read more…