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Quantocracy’s Daily Wrap for 07/12/2021

This is a summary of links featured on Quantocracy on Monday, 07/12/2021. To see our most recent links, visit the Quant Mashup. Read on readers!

  • The Unconventional Guide To The Best Websites For Quants [Quant Insti]

    Generally, a quant is a professional in the financial technology industry who designs complex algorithms with the help of quantitative analysis. Quants are skilled in mathematics, finance and computer skills – a blend which is rare. In the trading domain, quants design and implement the algorithms to predict the price. To find the information that has quality is most important here because it is
  • Building a Long Volatility Strategy without Using Options [Factor Research]

    Long volatility strategies can be built without using options Our systematic approach has used exclusively currencies and bonds Investors can achieve attractive diversification benefits with such strategies INTRODUCTION The insurance policy is one of the game-changing products of our civilization as the individual is protected against great financial harm by the rest of society. Everyone
  • Diversified reward-risk parity [SR SV]

    Risk parity is a portfolio construction technique that seeks to equalize risk contributions from the different components of the portfolio. Risk parity with respect to uncorrelated risk sources maximizes diversification. Simple risk parity rules are based on the inverses of market beta, price standard deviation, or price variance. These methods can be combined with common reward risk metrics, such
  • Maximize ESG exposure or screen out sin stocks? [Alpha Architect]

    In a 2020 paper, the authors explore the side effects of applying ESG screens to a passive portfolio. While the ESG scores or tilt was improved and Sharpe ratios increased, significant regional, sector, and conventional risk factor exposures were magnified. While investors may be attracted and willing to adopt ESG strategies, they may be unwilling to accept exposures to these additional sources of

Quantocracy’s Daily Wrap for 07/11/2021

This is a summary of links featured on Quantocracy on Sunday, 07/11/2021. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Read this if you follow Quantocracy via daily email [Quantocracy]

    Previously, we used Googles Feedburner to deliver our Daily Wraps via email. Google is dropping that service, so all email followers will be moved over to Follow.it later this week. Im expecting this to be a seamless transition apart from Daily Wraps coming from a different email address. If you dont receive your emails, please take the usual steps of checking your spam folder and marking

Quantocracy’s Daily Wrap for 07/10/2021

This is a summary of links featured on Quantocracy on Saturday, 07/10/2021. To see our most recent links, visit the Quant Mashup. Read on readers!

Quantocracy’s Daily Wrap for 07/09/2021

This is a summary of links featured on Quantocracy on Friday, 07/09/2021. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Introduction to CPPI – Constant Proportion Portfolio Insurance [Quantpedia]

    As we have promised, we present a short article as an introduction into the methodology of the Quantpedia Pro CPPI reports. Quantpedia Pro clients can use the model portfolio built in the Portfolio Manager as a risky asset to test various variants Basic CPPI, Drawdown Based CPPI and Dynamic Multiplier CPPI. Introduction CPPI (Constant Proportion Portfolio Insurance) is a strategy that allows

Quantocracy’s Daily Wrap for 07/07/2021

This is a summary of links featured on Quantocracy on Wednesday, 07/07/2021. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Strategies That Play Well With Others [Allocate Smartly]

    We track more than 60 tactical asset allocation strategies. In this post we look at which of those strategies are most often recommended by common portfolio optimization techniques, and why strategies that play well with others are not always the best strategies. First, a little background for the uninitiated: Members can combine the strategies we track into what we call Model
  • Factor Olympics Q2 2021 [Factor Research]

    The Q1 2021 factor rotation into Value and Size has reversed Value is the only factor with positive performance in 1H 2021 Momentum has generated the most negative returns INTRODUCTION We present the performance of five well-known factors on an annual basis for the last 10 years. Specifically, we only present factors where academic research supports the existence of positive excess returns across
  • When DJI Rallies From 50-day Low to 50-day High Very Quickly [Quantifiable Edges]

    The SPX, Dow, and NASDQ all closed at all-time highs on Friday. Just 10 days ago the Dow closed at a 50-day low. That quick of a move from low to high is quite an accomplishment. Over the last 101 years this just the 21st time the Dow has managed to move from a 50-day closing low to a 50-day closing high within 10 days. Below are all the other instances, along with the $DJI performance in the

Quantocracy’s Daily Wrap for 07/02/2021

This is a summary of links featured on Quantocracy on Friday, 07/02/2021. To see our most recent links, visit the Quant Mashup. Read on readers!

Quantocracy’s Daily Wrap for 07/01/2021

This is a summary of links featured on Quantocracy on Thursday, 07/01/2021. To see our most recent links, visit the Quant Mashup. Read on readers!

Quantocracy’s Daily Wrap for 06/29/2021

This is a summary of links featured on Quantocracy on Tuesday, 06/29/2021. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Distance Approach in Pairs Trading: Part I [Hudson and Thames]

    There are many types of approaches you can use in pairs trading, but the Distance Approach is one of the most widely used because of its simplicity. The basic concept is as follows: Using Euclidean squared distance on the normalized price time series, n closest pairs of assets are chosen as pairs. S S D=sum_{t=1}^{N}left(P_{t}^{1}-P_{t}^{2}right)^{2} Then, with selected pairs, if the difference
  • Static optimisation of the best set of instruments to hold in a futures trading system [Investment Idiocy]

    In a couple of recent posts (here and here) I explored the idea of using dynamic optimisation to deal with the following problem: diversification across markets is good, but requires more capital. That didn't work out so well! I can also appreciate that this is *way* beyond most peoples idea of a simple trend following system. And it flies in the face of much I've said in terms of
  • Is Zorro project worth trying for algorithmic trading? [Trading Enigma]

    The online trading platform is growing bigger day by day. More people are entering this industry, and they are trying to come up with unique trading strategies. But automated trading has taken the industry by storm. Automated trading is the best thing an independent trader can ask for. But implementing an automated trading strategy is one big task. It requires deep market research and a lot of
  • Can Investors Beat Active Mutual Funds with Cheap ETFs, YUP! [Alpha Architect]

    The research (and the theory) has convincingly shown that mutual funds should and do underperform a passive index by an amount approximately equal to fees. However, no one has actually tried to construct the active mutual fund dominating passive strategy using commercially available products. It seems like such an obvious test. This study is designed to answer that question on a practical basis.

Quantocracy’s Daily Wrap for 06/28/2021

This is a summary of links featured on Quantocracy on Monday, 06/28/2021. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Paul Novell’s Bond-COMP Tactical Bond Strategy [Allocate Smartly]

    This is a test of a tactical bond strategy from Paul Novell of Investing for a Living. It rotates between credit bond ETFs and defensive assets based on the same rules as his popular SPY-COMP strategy. Backtested results from 1970 follow. Results are net of transaction costs see backtest assumptions. Learn about what we do and follow 60+ asset allocation strategies like this one in near
  • Factor Exposure Analysis: Exploring Residualization [Factor Research]

    Regression analysis is frequently subject to multicollinearity Independent variables can be residualized Using residualized variables in a factor exposure analysis identifies different drivers DISCLAIMER The worth of an econometrics textbook tends to be inversely related to the technical material devoted to multicollinearity Williams, R. Economic Record 68, 80-1. (1992) via Kennedy, A
  • Bayesian vs. Frequentist in Practice, part 3 [Eran Raviv]

    This post is inspired by Leo Breimans opinion piece No Bayesians in foxholes. The saying there are no atheists in foxholes refers to the fact that if you are in the foxhole (being bombarded..), you pray! Leos paraphrase indicates that when complex, real problems are present, there are no Bayesian to be found. A nice illustration for why one would prefer the Bayesian approach over
  • When Persistent Higher Highs Don t Suggest a Pullback [Quantifiable Edges]

    SPX managed to make an intraday high for the 5th day in a row on Friday. An interesting study from the Quantifinder looked at the possible impact of 5 higher highs occurring. The studies examined the impact of the position of the market when the 5 higher highs occurred. I broke it down again over the weekend. I wanted to see all times the 5 higher highs were accompanied by a 50-day high versus
  • A market-to-book formula for equity strategies [SR SV]

    A new proxy formula for equity market-to-book ratios suggests that (the logarithm of) such a ratio is equal to the discounted expected value of (i) differences between return on equity and market returns and (ii) the net value added from share issuance or repurchases. A firm with a higher market-to-book ratio must have lower future returns, higher return on equity, or more valuable growth or

Quantocracy’s Daily Wrap for 06/25/2021

This is a summary of links featured on Quantocracy on Friday, 06/25/2021. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Optimising portfolios for small accounts: Dynamic optimisation testing -> EPIC FAIL [Investment Idiocy]

    This is part two in a series of posts about using optimisation to get the best possible portfolio given a relatively small amount of capital. Part one is here (where I discussed the idea). You should read that now, if you haven't already done so. In this post I show you and explain the code and methodology used for the backtesting of this idea, and look at the results. The code is in my open
  • Research Review | 25 June 2021 | Tail Risk [Capital Spectator]

    Equity Tail Risk in the Treasury Bond Market Mirco Rubin (EDHEC) and Dario Ruzzi (Bank of Italy) December 23, 2020 This paper quantifies the effects of equity tail risk on the US government bond market. We estimate equity tail risk as the option-implied stock market volatility that stems from large negative jumps as in Bollerslev, Todorov and Xu (2015), and assess its value in reduced-form