Get Started

Hierarchical Risk Parity

February 21, 2020

Various risk parity methodologies are a popular choice for the construction of better diversified and balanced portfolios. It is notoriously hard to predict the future performance of the majority of asset classes. Risk parity approach overcomes this shortcoming by building portfolios using only assets’ risk characteristics and correlation matrix. A new research paper written by Lohre, Rother and Schafer builds on the foundation of classical risk parity methods and presents hierarchical risk parity technique. Their method uses graph theory and machine learning to build a hierarchical structure of the investment universe. Such structure allows better division of assets into clusters with similar characteristics without relying on classical correlation analysis. These portfolios then offer better tail risk management, especially for skewed assets and style factor strategies.

Authors: Lohre, Rother and Schafer

Title: Hierarchical Risk Parity: Accounting for Tail Dependencies in Multi-Asset Multi-Factor Allocations

Continue reading »

Why Do Top Hedge Funds Outperform?

January 30, 2020

Every hedge fund manager and every trader wants to know what strategies are employed in a fund ran by his competition. The curiosity is even stronger if we want to see how strategies are mixed in the kitchen of the most successful hedge funds. Top performing funds are usually notoriously secretive about their portfolios. But we still can learn something from the history of their monthly returns. One such interesting methodology is described in a research paper written by Canepa, Gonzalez, and Skinner. Their analysis hints that the top-performing hedge funds are usually successful because they are able to manage their factor exposure better. They are not dependent so much on classical equity risk factors as average funds are. And if they are exposed to some risk factor, the top-performing hedge funds are able to close underperforming factor strategy sooner than average funds.

Authors: Canepa, Gonzales, Skinner

Title: Hedge Fund Strategies: A non-Parametric Analysis

Continue reading »

Pre-Election Drift in the Stock Market

January 23, 2020

There are many calendar / seasonal anomalies by which we can enhance our strategies to gain more return. One of the least frequent but still very interesting anomalies is for sure the Pre-Election Drift in the stock market in the United States. This year is the election year, and public discussion is getting more heated. The current president of the United States and candidate for re-election, Donald Trump, is a peculiar figure who split the population of the United States into two parts, ones who hate him and those who love him. We can probably expect volatile market moves as we will move closer to this year’s presidential election. But this post will not be about politics but about trading. In this post, we will try to uncover a pattern in historical data that shows significant market moves a few days before elections…

Authors: Vojtko, Cisar

Title: Pre-Election Drift in the Stock Market

Continue reading »

Top Ten Blog Posts on Quantpedia in 2019

December 29, 2019

The end of the year is a good time for a short recapitulation. Apart from other things we do (which we will summarize in our next blog in a few days), we have published around 50 short blog posts / recherches of academic papers on this blog during the last year. We want to use this opportunity to summarize 10 of them, which were the most popular (based on Google Analytics tool). Maybe you will be able to find something you have not read yet …

Continue reading »

Quant’s Look on ESG Investing Strategies

December 13, 2019

ESG Investing (sometimes called Socially Responsible Investing) is becoming a current trend, and its proponents characterize it as a modern, sustainable, and responsible way of investing. Some people love it, others see it as just another fad that will soon be forgotten. We at Quantpedia have decided to immerse in academic research related to this trend to understand it better. How are ESG scores measured? What are the common problems in ESG data? Are there any systematic ESG factor strategies that offer outperformance? These are some of the areas we wanted to explore, and we invite you on this journey with us …

Continue reading »

Popularity Asset Pricing Model

November 19, 2019

Professor Roger Ibbotson is one of the most respected and influential researchers of the current era. His book “Stocks, Bonds, Bills, and Inflation” is a classic and often serves as a reference for information about capital market returns. Therefore we always pay attention to his publications. His actual work, “Popularity – A Bridge between Classical and Behavioral Finance”, which is written with Thomas M. Idzorek, Paul D. Kaplan, and James X. Xiong, is now available on SSRN.

In their work, authors explain the term “Popularity” from an asset pricing point and show how “Popularity” can be a broad umbrella under which nearly all market premiums and anomalies (including the traditional value and small-cap) can fall. They develop a formal asset pricing model that incorporates the central idea of “Popularity”, which they call the “popularity asset pricing model” (PAPM). Based on this model, they predict characteristics as a company’s brand, reputation, and perceived competitive advantage to be new equity factors.

It’s a long read, but we at Quantpedia really recommended it for all equity portfolio managers …

Authors: Ibbotson, Idzorek, Kaplan, Xiong

Title: Popularity: A Bridge between Classical and Behavioral Finance

Continue reading »