Risk-averse investors want higher returns at any cost. If they are constrained and are not able to use leverage on their own, they will look for other ways to increase their performance. Recent academic paper written by Hitzemann, Sokolinski, Tai suggests, that such risk-seeking investor will search for a high-beta fund that will give them requested embedded leverage, even when that fund charge higher than average fees. Resultant net alpha of those high-beta funds is then negative, and this effect can explain the significant part of the underperformance of the overall mutual fund industry. And now, the logical question follows: As hedge funds have even higher fees than mutual funds, what is embedded in them, that constrained clients normally can’t access? Higher leverage and access to option-like return distribution? Maybe…

Authors: Hitzemann, Sokolinski, Tai

Title: Paying for Beta: Embedded Leverage and Asset Management Fees

May is behind us, and we are bringing you our summary Quantpedia’s research again. Nine new Quantpedia Premium strategies have been added into our database, and nine new related research papers have been included in existing Premium strategies during last month.

Additionally, we have produced 16 new backtests written in QuantConnect code. Our database currently contains over 290 strategies with out-of-sample backtests/codes.

Also, four new blog posts you may find interesting have been published on our Quantpedia blog.

Six new strategies have been added.

Six new related research papers have been included into existing strategy reviews and two short free blog posts have been published during last few weeks. Plus, eight trading strategies have been backtested in May.

Now we are bringing you our summary Quantpedia’s research again. Nine new Quantpedia Premium strategies have been added into our database, and nine new related research papers have been included in existing Premium strategies during last month.

Additionally, we have produced 16 new backtests written in QuantConnect code. Our database currently contains over 290 strategies with out-of-sample backtests/codes.

Also, four new blog posts you may find interesting have been published on our Quantpedia blogin the previous two weeks.

How should be equity factor strategies implemented? In a long-only smart beta) way? As a long-short strategy, as most of the hedge funds usually do? Or in a partially-hedged fashion by going long equity factor and shorting market to offset some of the market risks? There is no one universal answer as it depends on the investment mandate and constraints of each fund manager contemplating to implement factor investing strategies. But recent academic paper written by Benaych-Georges, Bouchaud and Ciliberti suggests that it’s a good idea to go in the direction of long-short implementation (if it’s possible). Managing short book can be challenging; however, the added benefit of lower correlation among strategies gives resultant factor portfolio a significant boost in the return-to-risk ratio (even after accounting for realistic implementation and shorting costs).

Authors: Benaych-Georges, Bouchaud, Ciliberti

Title: Equity Factors: To Short Or Not To Short, That is the Question

There are very few observations of the attributes of financial markets that are considered by most of the investors as nearly permanent facts. One of the most often cited examples is that over the long interval stocks outperform bonds. But is it really such truth? Over how long interval? 10 years, 20 years, 30 years? As the new and better historical data are becoming available for analysis, they show interesting findings. Let’s show one example. There exist one very long interval during which the return of stocks was nearly equal to bonds. What do you think is the length of such an interval in the case of the US? It’s 150 years! Yes, that’s correct, there was a one-and-half-century long period in the history of the United States when the performance of stocks and bonds was nearly identical. We do not imply that it will be the case in the 21st century. But an important research paper written by Edward McQuarrie shows that investors must prepare for even the most unexpected possibilities when they are making their asset allocation decisions.

Author: McQuarrie

Title: The US Bond Market before 1926: Investor Total Return from 1793, Comparing Federal, Municipal and Corporate Bonds Part II: 1857 to 1926

Three new strategies have been added.

Three new related research papers have been included into existing strategy reviews and two short free blog posts have been published during last few weeks. Plus, eight trading strategies have been backtested in QuantConnect in the previous two weeks.