Articles by OSM

Python-bloggers

December 28, 2020 | OSM

Python-bloggers aggregates blogs focused on using Python’s data analysis super-power for data science, machine learning, and statistics. Brought to you by the same folks that publish the hugely popular R-bloggers, it is well worth a read. Check it... [...Read more...]

Quantocracy

December 28, 2020 | OSM

Quantocracy is a great resource for all things related to quantitative and empirical investing. We learn something every time we visit. Expand your knowledge here!
[...Read more...]

R-bloggers

December 28, 2020 | OSM

R-bloggers is a great resource. We visit the website almost every day. Shouldn’t you? Have a look https://www.r-bloggers.com/. [...Read more...]

Explaining variance

December 14, 2020 | OSM

We’re returning to our portfolio discussion after detours into topics on the put-write index and non-linear correlations. We’ll be investigating alternative methods to analyze, quantify, and mitigate risk, including risk-constrained optimization, a topic that figures large in factor research. The main idea is that there are certain risks ...
[...Read more...]

Explaining variance

December 14, 2020 | OSM

We’re returning to our portfolio discussion after detours into topics on the put-write index and non-linear correlations. We’ll be investigating alternative methods to analyze, quantify, and mitigate risk, including risk-constrained optimization, a topic that figures large in factor research. The main idea is that there are certain risks ...
[...Read more...]

Round about the kernel

November 12, 2020 | OSM

In our last post, we took our analysis of rolling average pairwise correlations on the constituents of the XLI ETF one step further by applying kernel regressions to the data and comparing those results with linear regressions. Using a cross-validat...
[...Read more...]

Round about the kernel

November 12, 2020 | OSM

In our last post, we took our analysis of rolling average pairwise correlations on the constituents of the XLI ETF one step further by applying kernel regressions to the data and comparing those results with linear regressions. Using a cross-validat...
[...Read more...]

Round about the kernel

November 12, 2020 | OSM

In our last post, we took our analysis of rolling average pairwise correlations on the constituents of the XLI ETF one step further by applying kernel regressions to the data and comparing those results with linear regressions. Using a cross-validat...
[...Read more...]

Kernel of error

October 26, 2020 | OSM

In our last post, we looked at a rolling average of pairwise correlations for the constituents of XLI, an ETF that tracks the industrials sector of the S&P 500. We found that spikes in the three-month average coincided with declines in the under...
[...Read more...]

Kernel of error

October 26, 2020 | OSM

In our last post, we looked at a rolling average of pairwise correlations for the constituents of XLI, an ETF that tracks the industrials sector of the S&P 500. We found that spikes in the three-month average coincided with declines in the under...
[...Read more...]
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