Quantpedia in October 2022 – the 100-Year Portfolio Analysis Report
I am glad that I can finally present the new Quantpedia Pro report that I have been looking forward to for the past few months – the 100-Year Portfolio Analysis. We spent the last few months gathering data – be it our historical analysis of the US Dollar, US Treasuries, commodities, or trend-following strategies. But the main goal of those articles was always to prepare the ground for the tool that gives our users the opportunity to review the hypothetical performance of any model portfolio (any trading strategy, portfolio of ETFs, or custom equity curves) during a very long historical period – since 1926. The article with a complete methodology was published a few days ago, so the natural question is: How does the real report look like?
In the first step, we use the multi-factor regression to build a synthetic portfolio and benchmark and let users review the in-sample match.
Afterward, we extend the history of a model portfolio & benchmark to nearly 100 years by modeling an input portfolio & benchmark via 18 factors with rich data history.
Users can then review synthetic portfolio and benchmark performance over an extended period, check performance in four sub-periods on a year-by-year basis, and monthly seasonality in synthetic portfolio performance. At the end are charts showing rolling correlation and beta to the US equities.
Stock-Bond Correlation, an In-Depth Look Authors: Noah Weisberger and Xiang Xu Title: Stock-Bond Correlation: A Global Perspective & Authors: Junying Shen and Noah Weisberger Title: US Stock-Bond Correlation: What are the Macroeconomic Drivers?
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