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Quantocracy’s Daily Wrap for 10/16/2017

This is a summary of links featured on Quantocracy on Monday, 10/16/2017. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Hedging Market Crashes with Factor Exposure [Factor Research]

    None of the factors consistently generated positive performance during recent market crashes However, almost any factor exposure would have increased the risk-return ratio of an equity-centric portfolio Low Volatility and Mean-Reversion would have been most beneficial, Momentum least INTRODUCTION A long time ago in a galaxy far, far awaymarkets declined. On our world, supported by an empire of
  • Sleuthing Out Allocations [Flirting with Models]

    Determining the allocations of an investment strategy is often the first step in scenario analysis, sensitivity analysis, and stress testing. For a single fund or ETF, the allocations can be found on the providers website or in marketing materials. However, when analyzing a larger group of funds or using third-party software tools, simplifying assumptions are frequently employed. Balancing
  • Podcast: Factor Replication with Lu Zhang [Alpha Architect]

    Here is a link to our podcast on Behind the Markets Wes and Jeremy speak with Lu Zhang, The John W. Galbreath Chair, Professor of Finance, at the Fisher College of Business at The Ohio State University, and co-author of the paper, Replicating Anomalies. The team dig into the 3-year research project and dissect some of the results. Prof. Zhang tell the audience what he considers to be the
  • October Opex Week Historically Bullish [Quantifiable Edges]

    Option expiration week is often a pretty good week for the market. October is one of those months where it has been especially good over the years. This can be seen in the study below. 2017-10-16 I decided to exclude 2008 because action that week was such an incredible outlier that it greatly skewed all the stats. (The week started with an 11.5% gain on Monday of 2008.) Even without 2008, results
  • Tips To Start Your Own Business In Algorithmic Trading [Quant Insti]

    You are doing well at work but have always felt that need to cater to the aspiration of doing something more, building something of your own? You are passionate about the chosen field of work. You have already explored different organizations and their work processes extensively. Entrepreneurship seems to be the only logical step ahead. The only concern is how? The basic questions that you need to
  • How to Predict FX Carry Profitability [Quantpedia]

    In this paper, we study the effectiveness of carry trade strategies during and after the financial crisis using a flexible approach to modeling currency returns. We decompose the currency returns into multiplicative sign and absolute return components, which exhibit much greater predictability than raw returns. We allow the two components to respond to currency-specific risk factors and use the

Quantocracy’s Daily Wrap for 10/13/2017

This is a summary of links featured on Quantocracy on Friday, 10/13/2017. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Replicating Anomalies [Alpha Architect]

    Academic research is amazing and incredibly useful for helping us better understand the complex world in which we live. In fact, academic research has literally rewired my brain at times. However, research isnt perfect and the search for truth is messy. Data-mining. Overfitting. P-hacking. Weve recently covered the subject here, here, and here. Whats the bottom line? Disregard everything
  • Are U.S. Equity Momentum ETFs Working? [CXO Advisory]

    Are U.S. stock and sector momentum strategies, as implemented by exchange-traded funds (ETF), attractive? To investigate, we consider five momentum-oriented U.S. equity ETFs with assets over $100 million, all currently available (in order of decreasing assets): iShares Edge MSCI USA Momentum Factor (MTUM) holds U.S. large-capitalization and mid-capitalization stocks with relatively high
  • Research Review | 13 October 2017 | Expected Return [Capital Spectator]

    The Most Dangerous (and Ubiquitous) Shortcut in Financial Planning John West and Amie Ko (Research Affiliates) September 2017 Using historical returns to forecast the future is one of the most common shortcuts in financial planning. Investment advisors who use only past returns to forecast future returns may well be creating unrealistic expectations and poor investment outcomes for their clients.

Quantocracy’s Daily Wrap for 10/12/2017

This is a summary of links featured on Quantocracy on Thursday, 10/12/2017. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Dividend Capture Strategy: Trade Execution Matters [Alpha Architect]

    One area in investing that is often overlooked by investors is trade execution, which relates primarily to commissions, bid-ask spreads, and price impact. Yet sometimes it is trade-execution alone that can make the difference between and profitable trade and an unprofitable one. In a new paper, Ex-Dividend Profitability and Institutional Trading Skill, by Henry and Koski, the authors examine

Quantocracy’s Daily Wrap for 10/11/2017

This is a summary of links featured on Quantocracy on Wednesday, 10/11/2017. To see our most recent links, visit the Quant Mashup. Read on readers!

  • A Returns-based Approach: Incorporating Microcap in Equity Allocations [Factor Investor]

    We are often asked how much of a plans assets should be allocated to microcap equities. As long-term investors that view the opportunity set through the lens of factors, our answer is usually some version of "probably more than you currently do." Microcap is a very challenging asset class to evaluate. There is little empirical research specific to the intricacies of the space, and

Quantocracy’s Daily Wrap for 10/10/2017

This is a summary of links featured on Quantocracy on Tuesday, 10/10/2017. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Replicating Indexes In R With Style Analysis: Part I [Capital Spectator]

    In the quest for clarity in portfolio analytics, Professor Bill Sharpes introduction of returns-based style analysis was a revelation. By applying statistical techniques to reverse engineer investment strategies using historical performance data, style analysis offers a powerful, practical tool for understanding the source of risk and return in portfolios. The same analytical framework can be
  • The Kelly Criterion and Option Trading [Highly Evolved Vol]

    The Kelly criterion can be used to calculate the optimal size of a trade. Specifically, it gives the size that increases the trader's account at the fastest possible rate. It is possible that a given trader might not actually want this. She might want some sort of volatility or draw down constraint as well, but traders should still understand the ideas and implications of Kelly sizing. And

Quantocracy’s Daily Wrap for 10/09/2017

This is a summary of links featured on Quantocracy on Monday, 10/09/2017. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Death, Taxes, and Mean-Reversion? [Factor Research]

    SUMMARY Mean-reversion has not performed well over the last few years Highly sensitive to model assumptions The strategy is an attractive addition for an equity-centric portfolio INTRODUCTION According to Benjamin Franklin death and taxes are the only two certainties in life. In finance, where much is uncertain, especially the future, mean-reversion might be considered a certainty. Mean-reversion
  • Problems in the Optimization of Swing Portfolios [QUSMA]

    Assume you have a bunch of different systems that trade stocks, equity index ETFs, bond ETFs, and some other alternative assets, eg commodity ETFs. All the systems take both long and short positions. What are the questions your portfolio optimization approach must answer? This is a post focused on high-level conceptual issues rather than implementation details. Do I want market factor exposure? By
  • Tactical, But When? [Flirting with Models]

    Were often asked, is now a good time to implement tactical strategies? We believe there are better and worse periods for tactical, largely based upon expected risk/reward trade-offs and available diversification opportunities. For investors, we believe an equally important consideration is where they are in their investment lifecycle trajectory. For investors with longer horizons, the
  • Academic Research Insight: Does Social Capital payoff during times of crisis in the markets? [Alpha Architect]

    Title: Social Capital, Trust, and Firm Performance: The Value of Corporate Social Responsibility during the Financial Crisis Authors: Karl V. Lins, Henri Servaes, and Ane Tamayo Publication: The Journal of Finance, Vol. LXXII, No. 4, August 2017 The present financial crisis springs from a catastrophic collapse in confidence. . . Financial markets hinge on trust, and that trust has eroded.

Quantocracy’s Daily Wrap for 10/08/2017

This is a summary of links featured on Quantocracy on Sunday, 10/08/2017. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Analyzing A South African Financial News Twitter Corpus using a Topic Model [Top of The Bell Curve]

    Over the past decade there has been an increase in the amount of digital information that is available. In particular, there is now vasts amount of data that is available on social media platform such as twitter and Facebook that can be analysed to gain further insight and to establish sentiment about a particular topic. This information can then be used as additional input into a portfolio

Quantocracy’s Daily Wrap for 10/06/2017

This is a summary of links featured on Quantocracy on Friday, 10/06/2017. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Reconciling Individual Stock Returns and Factor Portfolio Returns [Alpha Architect]

    Those in the financial media have recently been writing multiple stories on a fascinating working paper, Do Stocks Outperform Treasury Bills? by Hendrik Bessembinder. We originally highlighted the paper on our blog in January. However, recent stories by those at the New York Times (here and here), Bloomberg (here and here), and ETF.com (here) have brought the paper back into the spotlight.
  • getSymbols and Alpha Vantage [Foss Trading]

    Thanks to Paul Teetor, getSymbols() can now import data from Alpha Vantage! This feature is part of the quantmod 0.4-11 release, and provides another another data source to avoid any Yahoo Finance API changes*. Alpha Vantage is a free web service that provides real-time and historical equity data. They provide daily, weekly, and monthly history for both domestic and international markets, with up
  • Volume Filters (Part 2) | Trading Strategy (Entry & Exit) [Oxford Capital]

    Developer: Joseph Granville (On-Balance Volume); R. D. Donchian (Breakout Channels). Concept: Trading strategy based on price breakouts confirmed by OBV (On-Balance Volume) filters. Research Question: Can volume filters improve price breakouts? Specification: Table 1. Results: Figure 1-2. Trade Setup: Long Entry Setup: High[i] > EntryUpPriceChannel[i 1]. Short Entry Setup: Low[i]

Quantocracy’s Daily Wrap for 10/05/2017

This is a summary of links featured on Quantocracy on Thursday, 10/05/2017. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Comparing Supervised Learning Methods for Hang Seng Futures Long/Short Strategy [Golden Compass]

    Trend prediction in financial markets is a very complex task, due to the fact that prices are inherently noisy, non-stationary, and deterministically chaotic. In recent years, studies have leveraged various machine learning algorithms to tackle this task. Leung, Chen, and Daouk (2001) used a Probabilistic Neural Network to forecast the trend of index return on the Taiwan Stock Exchange Index, and
  • Strong down performance for trend following in September [Wisdom Trading]

    September 2017 Trend Following: DOWN -5.31% / YTD: -21.01% The Wisdom State of Trend Following index had a rough September, unfortunately following the trend of the last 18 months and going through the -20% mark for the year so far. With only 3 months to go, 2017 is shaping up to be a strong negative one for the strategy, like last year. Below is the full State of Trend Following report as of last

Quantocracy’s Daily Wrap for 10/04/2017

This is a summary of links featured on Quantocracy on Wednesday, 10/04/2017. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Indicator Comparison: Ehler My Stochastic Indicator, RSI and ConnorsRSI [Alvarez Quant Trading]

    Like all traders, I am always on the lookout for any new indicators better than the ones I am using. I have been using and promoting RSI2 since 2004 for mean reversion trading. I created the ConnorsRSI in 2012. Am I married to these indicators? No. If I find something better I will drop them. I came across this article Battle of the oscillators, I had to try it out. One thing to understand,