Quantpedia Explains

            

        



The “Quantpedia Explains” is a new series of short videos and case study articles in which we will show and explain some of the themes out of quantitative finance that we think are worth mentioning. We will start with a very quick intro to individual Quantpedia Pro reports, their logic and benefits. Later we will move to the other topics of interest …

    




Case Study – Multi-factor Analysis

More in-depth study of our factor regression methodology process is available in the following article.


Case Study – The Closest Neighbours and Complementary Strategies

The Closest Neighbours and Complementary Strategies reports recommend new trading strategies and ideas for your model portfolio. Read more about the methodology of data taking to this report.


Case Study – Seasonality Analysis

See how the Seasonality Analysis report can verify academic research related to seasonal anomalies in the stock market and how it can help you uncover anomalies in other assets. Read more …


Case Study – Trend and Reversal Analysis

Trend and Reversal Analysis report is shortly explained in the case study, which gives a quick overview of a process of how Quantpedia Pro can be used to analyze common portfolio’s strategic asset allocation …


Case Study – Crisis Analysis

Use Crisis Analysis report to analyze the behaviour of your model portfolio during crisis periods and look for a better portfolio composition. We announced this report in April 2022. Read more …


Case Study – Crisis Hedge

Our announcement blog about the Crisis Hedge feature can be accessed here. Plus, we show this functionality also in our Quantpedia Pro case study … We announced this report in August 2021.


Case Study – Correlation Analysis

The Correlation Analysis case study uses the Quantpedia Pro report to investigate whether we can start talking about the financialization of the cryptocurrency market. We announced this report in March 2021. Read more …


Case Study – Market Phases Analysis

The Market Phases Analysis case study shows how Bitcoin performs during various market cycle phases and whether it is a better hedge against equity market downturns than gold or long-term government treasuries. We announced this report in April 2021. Read more …


Case Study – Commodity & Fixed Income Phases Analysis

Commodity & Fixed Income Phases Analysis help to analyze your portfolio’s sensitivity to inflation and interest rates. Inspiration was Market Phases Analysis. We announced this report in March 2022. 


Case Study – Value at Risk

Our announcement blog about the Value at Risk feature for all three VaR versions is available in the following article. We announced this report in October 2021.

 


Case Study – Volatility Targeting

Our announcement article about the Volatility Targeting feature can be accessed here. It will explain some theories behind this portfolio management method.


Case Study – Markowitz Portfolio Optimization

The Markowitz Portfolio Optimization case study shows different ways how to use this methodology on out-of-sample portfolio optimization. We announced this report in May 2021. Read more …


Case Study – Portfolio Risk Parity

The Portfolio Risk Parity case study shows how to apply the Naive Risk Parity method to the model portfolio consisting of four ETFs. Read more …


Case Study – CPPI

Our announcement blog about the CPPI feature can be accessed here. Plus, we explain this functionality also in our Quantpedia methodology article. We announced this report in June 2021.


Case Study – Clustering

Our announcement blog about the Portfolio Clustering feature for all three methods is available in the following article and its 2nd and 3rd continuation. We announced this report in September 2021.


Case Study – Dollar-Cost Averaging

Dollar-Cost Averaging allows analyzing and testing of various approaches to investment and divestment. We announced this report in January 2022. You can read more about the report here…


Case Study – Kelly and Optimal F

Kelly and Optimal F methodology help not to overbet when assessing the maximal leverage. We explained the complete methodology in the following article. This report was announced in February 2022.

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