Quant Mashup How Painful Can Factor Investing Get? [Factor Research]A classic long-short, multi-factor portfolio has lost close to 20% since 2018 The drawdown is within expectations, but the recovery period is abnormally long However, it’s difficult to argue for structural changes that make factor investing unattractive SEEKING DIVERSIFICATION THROUGH MULTI-FACTOR(...) Contract-Specific Trading Costs and Optimal Execution Strategy [Quant Fiction]There are as many strategies for extracting alpha from the markets as there are traders. Unfortunately, this article will be discussing none of them. If that’s what you’re looking for, I suggest you check out the very sophisticated techniques covered in this video. OK. If you’re still reading,(...) The power of R for trading (part 2) [SR SV]The R environment makes statistical estimation and learning accessible to portfolio management beyond the traditional quant space. Overcoming technicalities and jargon, managers can operate powerful statistical tools by learning a few lines of code and gaining some basic intuition of statistical(...) The Variance Risk Premium is Pervasive [Alpha Architect]The variance risk premium (VRP) refers to the fact that, over time, the option-implied volatility has tended to exceed the realized volatility of the same underlying asset. This has created a profit opportunity for volatility sellers—those willing to write volatility insurance options, collect the(...) Synthetic ETF Data Generation (Part-2) - Gaussian Mixture Models [Black Arbs]This post is a summary of a more detailed Jupyter (IPython) notebook where I demonstrate a method of using Python, Scikit-Learn and Gaussian Mixture Models to generate realistic looking return series. In this post we will compare real ETF returns versus synthetic realizations. To evaluate the(...) Movement Capital's Composite Strategy: Balancing Strategy and Asset Risk [Allocate Smartly]This is a test of Movement Capital’s Composite Strategy. It combines tactical asset allocation with passive buy & hold. This balance between strategy risk and asset risk may be psychologically easier to trade, encouraging investors to stick with a smart investment plan when either style finds(...) Do Most Individual Stocks Outperform Cash? No. [Alpha Architect]I’d argue that a typical investor believes the following–In the past and over the long run, stocks outperformed bonds.(1) However, as highlighted here, an academic paper last year shows that the majority of individual U.S. stocks actually lost compared to Treasury Bills (i.e. the return to(...) Value and Momentum in a Cone [Two Centuries Investments]One of the most effective performance reporting formats I know is a Cone Chart, popularized by Bridgewater Associates. Here are some reasons why a Cone Chart is so effective: It clearly establishes ex-ante expectations of both return and volatility. When actual outcomes deviate within expectations,(...) Your Style-age May Vary [Flirting with Models]New research from Axioma suggests that tilting less – through lower target tracking error – can actually create more academically pure factor implementation in long-only portfolios. This research highlights an important question: how should long-only investors think about factor exposure in(...) Quant Strategies: Theory vs Reality [Factor Research]The live performance of quant strategies is significantly worse than in backtesting Factor investing returns from research are frequently challenged as being overstated However, the performance of smart beta and long-short multi-factor funds match theoretical returns INTRODUCTION When pitching an(...) A Historical Look at Opex Week in August [Quantifiable Edges]It is options expiration week this week. Options expiration weeks often have a bullish tendency. You can see it broken down by month in this post from March. But the summer months of June, July, & August have not seen that same bullish tendency. August’s performance has actually been net(...) How and why I got 75Gb of free foreign exchange Tick data (h/t @PyQuantNews) [Detlev Kerkovius]Towards the end of completing my masters in data science, I started picturing myself doing clever things with machine learning and automated trading. If like me, you have run into the “how do I get historical free tick data” connundrum, then this post is for you. I have structured my post in(...) Does Meta-Labeling Add to Signal Efficacy? [Hudson and Thames]Successful and long-lasting quantitative research programs require a solid foundation that includes procurement and curation of data, creation of building blocks for feature engineering, state of the art methodologies, and backtesting. In this project we create a open-source python package(...) The power of R for trading (part 1) [SR SV]R is an object-oriented programming language and work environment for statistical analysis. It is not just for programmers, but for everyone conducting data analysis, including portfolio managers and traders. Even with limited coding skills R outclasses Excel spreadsheets and boosts information(...) The Probability of Normality [Philipp Kahler]As an option seller you want the market to stay within the range prognosticated by implied volatility. But what is the historic probability that markets behave as expected? And what other analysis could be done to enhance your chances and find the periods when it is wise to sell an at the money(...) Betting Against Beta (BAB) Construction [Alpha Architect]One of the more popular equity strategies over the past decade is low volatility investing. Simply put, this is a systematic strategy that invests in stocks with lower volatility, either measured by Beta or standard deviation. Why? Well, the low-beta anomaly is the fact that in the past, academics(...) Market Timing and Bond ETFs [Alvarez Quant Trading]In my last two posts, Market Timing with a Canary, Gold, Copper, LQD, IEF and much more and Day of Month and Market Timing, I assumed that we earned no interest in cash. Most methods did a good job of telling us when to be in the SPY and when to be in cash. How much could we boost returns by(...) Summer VIX [Reproducible Finance]In a previous post, from way back in August of 2017, we explored the relationship between the VIX and the past, realized volatility of the S&P 500 and reproduced some interesting work from AQR on the meaning of the VIX. With the recent market and VIX rollercoaster, this seemed a good time to(...) No Skill? Well, Active Share Won't Save You! [Alpha Architect]What are the research questions? This paper is the first to examine the impact of including an active share target into the mean-variance optimization process of constructing portfolios. They use the Ceria and Stubbs (2006) approach to robust portfolio optimization as methodology. Monte Carlo(...) Harvesting the Bond Risk Premium [Flirting with Models]The bond risk premium is the return that investors earn by investing in longer duration bonds. While the most common way that investors can access this return stream is through investing in bond portfolios, bonds often significantly de-risk portfolios and scale back returns. Investors who desire(...) Low Vol Factor: From Obscurity to Stardom [Factor Research]Given the popularity of Low Volatility, investors might expect structural shifts in the factor characteristics Betas, valuations, sector biases, interest rate sensitivity, and factor exposures are highly time-varying Although these are worth monitoring from a risk perspective, none seem particularly(...) Should Investors Care About "the Way Things Are Going"? [CXO Advisory]Are broad measures of public sociopolitical sentiment relevant to investors? Do they predict stock returns as indicators of exuberance and fear? To investigate, we relate S&P 500 Index return and 12-month trailing S&P 500 price-operating earnings ratio (P/E) to the percentage of respondents(...) Balancing Strategy and Asset Risk [Allocate Smartly]The Two Centuries Investments blog from Mikhail Samonov has become a new favorite of mine. More “thought heavy” than “numbers heavy”, Mikhail is a fount of novel ideas. In this piece he describes something I apply in my own investing (though never defined so succinctly): the need to balance(...) Risks of Long-Term Stock Market Investments [Scalable Capital]No pain, no premium: risks are the currency that investors need to pay in order to earn excess returns in the long run. Over a period of almost 100 years the Fama-French US market index achieved approximately 10% annualised return but temporarily lost more than 30% on multiple occasions. For no(...) Robust Moving Average [Eran Raviv]Moving average is one of the most commonly used smoothing method, basically the go-to. It helps us detect trend in the data by smoothing out short term fluctuations. The computation is trivial: take the most recent k points and simple-average them. Here is how it looks: Moving average example with(...) Tactical Asset Allocation in July [Allocate Smartly]This is a summary of the recent performance of a wide range of excellent Tactical Asset Allocation (TAA) strategies, net of transaction costs. These strategies are sourced from books, academic papers, and other publications. While we don’t (yet) include every published TAA model, these strategies(...) Research Group Update & Website [Quants Portal]For those of you that don’t know, the idea of creating an open-source package based on Advances in Financial Machine Learning stemmed from Ashu and my master’s project at WorldQuant University. The initial goal was to build out a package that we could leverage to help us extend the literature(...) Can Low Vol Strategies Be Improved [Alpha Architect]My Advisor Perspective article of June 17, 2019 discussed the regime shifting nature of the low volatility anomaly—low volatility stocks have outperformed high volatility stocks, providing both higher returns while experiencing lower volatility. For example, in his 2012 paper, “Enhancing a(...) Extreme Value Theory [Asm Quant]Let’s talk about tail risk modelling today. In this blog, I want to introduce Extreme Value Theory (EVT) which concerns itself with modelling of the tails of a distribution, and its key results. As we go along we will work through a toy example with basic R implementation. There are two popular(...) Tips for an Aspiring “Creative Quant” [Two Centuries Investments]Alternative Title: What to Do if Your Boss is Terrified of New Ideas? Several younger quants have asked this question: “The culture of our quant group is very skeptical about new ideas. They are terrified of data-mining, and random factors. How can we innovate in such environment?” My thoughts(...) Timing Luck and Systematic Value [Flirting with Models]We have shown many times that timing luck – when a portfolio chooses to rebalance – can have a large impact on the performance of tactical strategies. However, fundamental strategies like value portfolios are susceptible to timing luck, as well. Once the rebalance frequency of a strategy is set,(...) How the Mathematics of Fractals Can Help Predict Stock Markets Shifts [Open Quants]In financial markets, two of the most common trading strategies used by investors are the momentum and mean reversion strategies. If a stock exhibits momentum (or trending behavior as shown in the figure below), its price on the current period is more likely to increase (decrease) if it has already(...) DeepTrading with TensorFlow VII [Todo Trader]For the first time, we will use the features of multiple financial instruments. In this case, we will use the main Forex pairs and the SP500 to perform our forecasts on Gold. This Jupyter notebook will be your guide for more complex calculations. Obviously, you can change the features and(...) Geometrical evaluation of Generative Adversarial Networks [Quant Dare]Generative Adversarial Networks are a quite powerful tool for generating synthetic samples. Visual inspection has been used as a traditional measure of performance. However, it is quite hard to inspect when a time series looks realistic or not! Which methodology can be used then? In order to measure(...) PMI & Equity Factor Performance [Factor Research]Value and Size have a positive relationship with the PMI, similar to the S&P 500 Indicates that risk sentiment is a core driver of factor performance Investors can consider incorporating variables like the PMI in a risk management framework INTRODUCTION A physicist, a chemist, and an economist(...) The Two Sides of Factor Investing [Two Centuries Investments]Today’s quantitative investors seem split between innovation on one hand and engineering on the other. The prior group is constantly looking for new factors that predict returns in areas like alternative data and machine learning - yet often fail to find them. The latter camp is focused on(...) How to build a Bitcoin Sentiment Analysis Strategy [Augmento]TL;DR: We built a profitable Bitcoin sentiment strategy yielding 2400% returns over 24 months. Adding trading fees made the strategy more realistic while finding optimal sentiment combinations and window sizes increased returns dramatically. In the previous article, we described how to build a(...) TAA and Transaction Costs [Allocate Smartly]New to Tactical Asset Allocation? Learn more: What is TAA? There are two hard costs that investors must consider when comparing a tactical asset allocation strategy to conventional buy & hold: (1) increased tax liability (if trading in a taxable account), and (2) increased trading costs(...) Stocks Don't Do So Hot - Most equities don't beat 1m Treasury bills (h/t @thodoha) [Mark Rzepczynski]Stocks are risky investments. Let's be very clear, stocks are risky with positive skew. Of course, everyone knows that but some data published about two years really drove that home. (See my earlier post "Most stocks are losers - Median and skew tell an important story" about the(...) Time Series Decomposition & Prediction in Python [Python For Finance]In this article I wanted to concentrate on some basic time series analysis, and on efforts to see if there is any simple way we can improve our prediction skills and abilities in order to produce more accurate results. When considering most financial asset price time series you would be forgiven for(...) Ensemble Multi-Asset Momentum [Flirting with Models]We explore a representative multi-asset momentum model that is similar to many bank-based indexes behind structured products and market-linked CDs. With a monthly rebalance cycle, we find substantial timing luck risk. Using the same basic framework, we build a simple ensemble approach, diversifying(...) The relation between value and momentum strategies [SR SV]Simple value and momentum strategies often end up with opposite market positions. One strategy succeeds when the other fails. There are two plausible reasons for this. First, value investors regularly bet against market trends that appear to ‘have gone too far’ by standard valuation metrics.(...) Rebalancing Luck [Spring Valley]The date on which a portfolio is rebalanced can have a tremendous impact on realized performance. We demonstrate that a strategy rebalanced on different dates using the exact same investment process can exhibit return differentials of over 20% across short periods of time. These differences are(...) Trading Evolved – Taking it to the Next Level [Following the Trend]A year in the making, my third book is now complete. Trading Evolved is quite different from my previous books, and substantially more information packed. This book is a practical, in-depth guide on how to backtest and analyze strategies using powerful Python techniques. To my knowledge, no such(...) Compound Your Knowledge Ep 18: Size, Mom, Sell-Offs, & R Code [Alpha Architect]In this week’s post, we discuss four articles. The size, written by the folks at AQR, is titled “Fact, Fiction, and the Size Effect” and is a deep dive into the Size effect–I highly recommend everyone read the underlying paper as well. The second article examines the baseline historical(...) Value Investing & Concentration [Alpha Architect]As many investors have experienced, Value investing has underperformed for some time now. For the period following the Global Financial Crisis, Value investing (in general) has underperformed (1) the market and (2) Growth stocks. So while the past decade has been rough for Value investors, it can be(...) An intuition behind currency risk [Quant Dare]Although we find currency risk particularly interesting, it is not often the case with many investors for whom it is no more than a necessary inconvenience. As such, they tend to neglect it, accepting undesirable non-remunerated risks and missing potential opportunities. To prevent this, in this(...) Philosophical Economics’ Growth-Trend Timing (Redux) [Allocate Smartly]This is a test of two variations of the Growth-Trend Timing (GTT) strategy from the always thought-provoking Philosophical Economics. GTT combines trends in both price and key economic indicators to switch between US equities and cash. Like most trend-following strategies, the strength of GTT(...) Strategies to Reduce Crash Risk in Stocks [Alpha Architect]Because equities are much riskier than high-quality bonds, the vast majority of the risk of a conventional 60 percent equity/40 percent bond portfolio is equity risk. Here’s the simple math demonstrating the point. Well-diversified equity portfolios have volatility of about 20 percent, and(...) The $VIX / $SPX Action Is Suggesting A Brief Pullback [Quantifiable Edges]While the SPX closed up the VIX also rose. Most often they trade opposite each other, so this kind of action is somewhat unusual. But VIX has a tendency to decline going into the weekend (Friday afternoons), and then rise when it returns from the weekend. So to see this action on the first trading(...)