Quantocracy

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Quantocracy’s Daily Wrap for 01/24/2019

This is a summary of links featured on Quantocracy on Thursday, 01/24/2019. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Right Now It s KDA Asset Allocation [QuantStrat TradeR]

    This post will introduce KDA Asset Allocation. KDA I.E. Kipnis Defensive Adaptive Asset Allocation is a combination of Wouter Kellers and TrendXplorers Defensive Asset Allocation, along with ReSolve Asset Managements Adaptive Asset Allocation. This is an asset allocation strategy with a profile unlike most tactical asset allocation strategies Ive seen before (namely, it barely
  • Algorithmically Detecting (and Trading) Technical Chart Patterns with Python [Alpaca]

    Defining Technical Chart Patterns Programmatically Ever wondered how to programmatically define technical patterns in price data? At the fundamental level, technical patterns come from local minimum and maximum points in price. From there, the technical patterns may be defined by relative comparisons in these min/max points. Lets see if we could have played this by algorithmically identifying
  • The Stay Rich Portfolio (or, How to Add 2% Yield to Your Savings Account) [Meb Faber]

    In 2012, Eike Batista had an estimated worth of more than $35 billion. The self-made Brazilian billionaire created an empire that stretched from mining to oil to public works. Many considered him the pride of Brazil. Barely two years later, he had lost all $35 billionand owed another $1.2 billion to creditors. How does this happen? How does a $35 billion portfolio evaporate practically

Quantocracy’s Daily Wrap for 01/23/2019

This is a summary of links featured on Quantocracy on Wednesday, 01/23/2019. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Asset Allocation Roundup [Allocate Smartly]

    Six recent asset allocation articles (tactical or otherwise) that you might have missed: 1. Fragility Case Study: Dual Momentum GEM (Newfound) + Response from Gary Antonacci Coreys post kicked off quite a lively discussion. I encourage you to click through to both pieces, but heres the argument in a nutshell. Note: Corey is using Antonaccis Dual Momentum (GEM) to illustrate his point, but
  • The Efficient Market Hypothesis [Highly Evolved Vol]

    (This is an excerpt from my upcoming book on positional option trading.) The traders concept of the Efficient Market Hypothesis (EMH) is, making money is hard. This isnt wrong, but it is worth looking at the theory in more detail. Traders are trying to make money from the exceptions to the EMH, and the different types of inefficiencies should be understood, and hence traded,
  • Rankings and Risk-Taking in the Finance Industry [Alpha Architect]

    Rankings are everywhere in the finance industry. A number of papers identify bonus schemes and tournament incentives(1) among the main drivers of excessive risk-taking in developed nancial markets. The article studies the impact of rankings on professionals risk-taking investment decisions. The authors ask the following research questions: Do non-incentivized rankings and tournament

Quantocracy’s Daily Wrap for 01/22/2019

This is a summary of links featured on Quantocracy on Tuesday, 01/22/2019. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Drawdowns and Portfolio Longevity [Flirting with Models]

    While retirement planning is often performed with Monte Carlo simulations, investors only experience a single path. Large or prolonged drawdowns early in retirement can have a significant impact upon the probability of success. We explore this idea by simulation returns of a 60/40 portfolio and measuring the probability of portfolio failure based upon a quantitative measure of risk called the
  • Corporate Debt In The Chinese Stock Market [Factor Research]

    China exhibits the worlds highest corporate debt as % of GDP However, Chinese stocks are not significantly more levered than U.S. stocks Asset and debt growth has stalled in 2018, likely indicating an economic slowdown INTRODUCTION The McKinsey Global Institute published an influential study in 2015 on the growth of global debt. The research note revealed that post the global financial crisis,

Quantocracy’s Daily Wrap for 01/19/2019

This is a summary of links featured on Quantocracy on Saturday, 01/19/2019. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Drawdown control [SR SV]

    Containment of drawdowns and optimization of performance ratios for multi-asset portfolios is critical for trading strategies. Alas, short data series or structural changes often render estimates of covariance matrices unreliable. A popular solution is risk-parity with volatility targeting. An alternative is MinMax drawdown control, which builds on a broad interpretation of drawdowns as
  • Software engineering is as important as data science [Cuemacro]

    I end up tweeting a lot. Possibly, far too much of what I tweet is random, about burgers and so on, albeit with a modicum of tweets about markets and Python. Twitter inevitably acts like some sponge, absorbing your attention, which can often be a bad thing, but can actually also be a good thing. A lot of what I have learnt about markets and coding in recent years has been a result of seeing tweets

Quantocracy’s Daily Wrap for 01/18/2019

This is a summary of links featured on Quantocracy on Friday, 01/18/2019. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Jack Bogle: The apostle of index investing [Mathematical Investor]

    Jack Bogle, founder of Vanguard Funds and a life-long apostle of index investing, died on 16 January 2019. Vanguard CEO Tim Buckley summarized his career in these terms: Jack Bogle made an impact on not only the entire investment industry, but more importantly, on the lives of countless individuals saving for their futures or their childrens futures. J.C. de Swaan, lecturer at Princeton
  • Buyback Blackout Periods Do Not Negatively Impact Market Performance [Alpha Architect]

    The October 2018 market correction where the S&P 500 Index fell by 7%, its worst October since 2008,(1) left investors searching for a culprit. Some of the usual suspects were blamed rising geopolitical tensions ahead of the US midterms, the high likelihood of a slowdown in economic and earnings growth after the sugar rush of fiscal stimulus and tighter monetary policy leading to higher
  • Compound Your Knowledge: Episode 1 [Alpha Architect]

    Welcome to the newly re-titled weekly video, Compound Your Knowledge. In todays video, we examine three posts. First, we examine a simple analysis of 2018 Factor portfolio returns. Second, we examine a guest post by Jon Seed examining Warrens put options, and how they are different than most investors put options. Last, we examine a guest post by Tommi, discussing a new Fama and French
  • Whither Fragility? Dual Momentum GEM [Dual Momentum]

    Corey Hoffstein of Newfound Research recently wrote an article called, Fragility Case Study: Dual Momentum GEM. Corey starts out saying my dual momentum approach is the strategy he sees implemented the most among do-it-yourself tactical investors. Corey then said several investors bemoaned that GEM kept them invested in the stock market during the last quarter of 2018. It signaled them out

Quantocracy’s Daily Wrap for 01/17/2019

This is a summary of links featured on Quantocracy on Thursday, 01/17/2019. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Livingston’s Muscular Portfolios [Allocate Smartly]

    This is a test of two tactical asset allocation strategies from Brian Livingstons new book Muscular Portfolios and his site MuscularPortfolios.com: the Mama Bear and Papa Bear Portfolios. The short and sweet take: neither of these strategies tread new ground theyre both based on the tried and true concept of relative (aka cross-sectional) momentum, and both are very

Quantocracy’s Daily Wrap for 01/16/2019

This is a summary of links featured on Quantocracy on Wednesday, 01/16/2019. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Historical View Of Extreme Short-Term Gains In $OEX Components [Quantifiable Edges]

    As I write this around 11am EST both NFLX and CELG are threatening to close up > 50% from their December 24th closing price, just 14 trading days ago. While that sometimes happens with speculative smallcap stocks, it is very unusual to see a largecap S&P 100 stock accomplish such strong gains in such a short period of time. In fact, the last instance of a 50% close to close gain within 15
  • Factor investing in the currency market [Quant Dare]

    Factor investing is a broadly used approach in asset management, specially for the equity market, but, can we apply this idea in order to explain currency returns? The idea at the core of factor investing is that there are different sources of risk in the market and that the exposure of the different assets to these sources of risk explain asset returns over the long term. Lets start the post
  • Quarterly Analysis and Commentary: Q4 2018 [Alpha Architect]

    Weve posted our quarterly attribution materials on our performance site.(1) We enjoyed putting the materials together and think they will be informative for those who follow our Indexes. The materials and videos are part of our long-term plan is to continually improve our quarterly communications and education efforts. If you have suggestions/comments, please reach out and let us know. Lets

Quantocracy’s Daily Wrap for 01/15/2019

This is a summary of links featured on Quantocracy on Tuesday, 01/15/2019. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Harvesting Risk Premia [Robot Wealth]

    Trading and investing doesnt have to be complicated. Check out this chart: source: Dimson, Marsh and Staunton, Triumph of the Optimists The blue line shows returns from US Stocks from 1900 to today. Thats a 48,000x increase in nominal value. The yellow line shows returns from US Bonds from 1900 to today. Thats a 300x increase in nominal value. So its pretty obvious what we need to do
  • The Most Volatile Stock Markets in the World [Quant Rocket]

    Many quantitative trading strategies thrive in high volatility regimes, while other trading strategies work best in low volatility regimes. So which global markets are the most and least volatile? This post compares the daily, overnight, and intraday volatility of 17 countries. Methodology Using historical data from Interactive Brokers, I calculate the standard deviation of daily (close-to-close),
  • Equity investing is Riskier than You Probably Expected [Alpha Architect]

    The purpose of this study was to examine the changes in the distribution of the US equity risk premium as the return horizon varies from monthly, annually, 3 year, 5 year, 10 year, 20 and 30 year periods. The equity premium was calculated as the monthly difference between the Market and Treasury bill returns. Two types of simulations were conducted: (1) the first simulation treated the sample of

Quantocracy’s Daily Wrap for 01/14/2019

This is a summary of links featured on Quantocracy on Monday, 01/14/2019. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Fragility Case Study: Dual Momentum GEM [Flirting with Models]

    Recent market volatility has caused many tactical models to make sudden and significant changes in their allocation profiles. Periods such as Q4 2018 highlight model specification risk: the sensitivity of a strategys performance to specific implementation decisions. We explore this idea with a case study, using the popular Dual Momentum GEM strategy and a variety of lookback horizons for
  • ESG Investing: Too Good To Be True? [Factor Research]

    ESG factors generated positive excess returns since 2009 Show positive exposure to Low Volatility & Quality and negative exposure to Value & Size Factor exposure is likely structural and not temporary INTRODUCTION BlackRock is aggressively launching products with high environmental, social, and governance (ESG) ratings. The firms CEO, Larry Fink, recently predicted that assets under

Quantocracy’s Daily Wrap for 01/13/2019

This is a summary of links featured on Quantocracy on Sunday, 01/13/2019. To see our most recent links, visit the Quant Mashup. Read on readers!

  • Most popular posts 2018 [Eran Raviv]

    2019 is well underway. 2018 was personally difficult, so I am happy its behind us. Without further ado, here is what my analytics report shows to be the three most popular posts for 2018: Create own Recession Indicator using Mixture Models (3:53 minutes average time on page) Portfolio Construction with R (5:03 minutes average time on page) Machine learning is simply statistics (3:49