Hedging sounds like a smart thing to do. But has it actually worked? This post examines the historical costs and benefits of hedging stock exposure with SPY puts. Interest in hedging strategies tends to increase as market volatility rises. There are many ways to hedge, and a common method is to

Early last week, Meb Faber included me on a conversation on buying stocks trading at 10x their company’s revenue (sales). Is this a good idea and how did it do in the past? Given that most “known” factors have underperformed over the past 10 years, I was interested in seeing if a somewhat

We discuss two major challenges when implementing a dynamic portfolio strategy in practice: Minimising trading costs and enforcing a no-fractional-dealing condition. To master these challenges, we present a flexible and efficient trade cost optimisation algorithm that can be combined with a wide

In this post we compare the performance of the 49 tactical asset allocation strategies that we track to 7 ETFs that provide all-in-one exposure to TAA. We were inspired by James Picerno’s Capital Spectator to run this analysis, so we’ve appropriated his list of 6 ETFs, and added Meb Faber’s

Jeremy had spent most nights over the previous 30+ years on this earth in search of the next big ETF. After all, you don’t “aspire to be at the forefront of innovative ways for marrying the benefits of the exchange-traded fund structure with goals that are associated with active managers” by

We did it. We democratized quant for one more year. Last year, we suffered through a 50% drawdown in attendance due to a perfectly timed snow storm. This year the weather cooperated with us and we were able to get everyone there. Full access to presentation videos and the accompanying slides (when

Option-based strategies generated better risk-adjusted returns than the S&P 500 over the last 30 years Investors should be wary of buying options and focus on harvesting the volatility risk premium by writing options Option-based strategies are an interesting alternative to long-short equity

The authors decompose strategy returns into factor alpha, tax alpha, and residual return for 6 tax-managed versus and 6 tax-indifferent factor strategies and for one indexing strategy. In contrast to other studies, where the impact of starting date dependence is eliminated, this research generates a

In this post we'll look at how the SPX straddle has been performing since I last analyzed its results back in 2015 (here). For this article, we'll just look at the following variations and how they performed from January 2007 through December 2018: 59 DTE - (25:10) / 2 DTE - exit if the

All tests of historical strategy performance (“backtests”) are imperfect reflections of the future. No one can say with certainty how stocks, bonds and other asset classes will perform in the coming years, but we have to root our analysis in something, and past performance is usually the best

In this commentary, we revisit the idea of portable beta: utilizing leverage to overlay traditional risk premia on existing strategic allocations. While a 1.5x levered 60/40 portfolio has historically out-performed an all equity blend with similar risk levels, it can suffer through prolonged periods

Trump’s tweets on Sunday have put the market in a state of disarray. After closing Friday at an all-time high, QQQ is set to gap down nearly 2% this morning. Below is a look at other times QQQ gapped down at least 1% to open the day after closing at a 200-day high the day before. 2019-05-6-12

In this week’s episode, we cover four articles published on our site. The first article, written by Ryan, examines the growth in assets of ETFs and Mutual Funds. The second article, summarized by Elisabetta, examines the performance of funds by differentiating the fund’s manager on his/her

The employment report was the catalyst for the big rally Friday, and the NASDAQ closed at a new high. The study below looks back at other instances where the NASDAQ spiked higher and closed at a new high on the day of an employment report. 2019-05-05 Employment-sparked momentum leading to new highs

Portfolio risk forecasting is subject to great parameter uncertainty, particularly for longer forward horizons. This simply reflects that large drawdowns are observed only rarely, making it hard to estimate their ‘structural’ properties. Bayesian forecasting addresses parameter uncertainty

This is an update to the original blog series that explored a simple strategy of being long UPRO and TMF in equal weight, inverse volatility and inverse-inverse volatility. This strategy crushed the cumulative and risk-adjusted returns of the benchmark SPY etf. However through our research we

I’ve shown numerous studies in the past that suggest uptrends often become choppy before they ultimately end. It is highly unusual for an uptrend that is showing strong persistence to abruptly top out. The study below demonstrates this concept. The persistent uptrend of late has kept SPX above its

The financial equivalent of the famous Miller Lite, “tastes great, less filling” debate is the debate between traditional financial economics which uses risk theories to explain asset pricing and the newer behavioral finance field that uses human behavior to provide the explanations.

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

BitMEX offers swaps that make it easy to lever a long or short bitcoin (BTC) and ether (ETH). The main reason it trades so much is that they are based outside of US or EU control in the little archipelago-nation of Seychelles, and also that it transacts only in Bitcoin. This combination makes it

Developer: Dan Chesler, CTM, CTA. Concept: Trading strategy based on false breakouts. Research Goal: Performance verification. Specification: Table 1. Results: Figure 1-2. Trade Setup: Long Trades: The modified bullish hikkake pattern (a.k.a. the bullish “inside day false breakout”) consists of

In this week’s video, we discuss three posts. The first post discusses the new index analysis section on our site. The second post, written by Tommi, uses Hedge Funds’ past performance to identify if one can predict future Hedge Fund performance. The last post discusses Wes’ video examining an

In our inaugural Algo Bootcamp, we teamed up with our super-active community of traders and developed a long-only, always-in-the-market strategy for harvesting risk premia. It holds a number of different ETFs, varying their relative weighting on a monthly basis. We’re happy with it. However, the

Four recent asset allocation articles (tactical or otherwise) that you might have missed: 1. Bond ETFs in an Era of Rising Rates (Better Buy & Hold) This is our first post from our new platform BetterBuyAndHold.com. Bonds face stiff headwinds in the coming years, and many will underperform what

In this commentary, we ask whether we should consider rotating factor exposure based upon the business cycle. To eliminate a source of model risk, we assume perfect knowledge of future recessions, allowing us to focus only on whether prevailing wisdom about which factors work during certain economic

Despite the economical theory states that financial markets are efficient and investors are rational, a large ammount of research is about anomalies, where the result is different from the theoretical expectation. At Quantpedia, we deal with anomalies in the financial markets and we have identified

Quantitative Portfolio Management by Edward Qian, Ronald Hua, Eric Sorensen Expected Returns by Antti Ilmanen Quantitative Value by Wesley Gray and Tobias Carlisle Quantitative Momentum by Wesley Gray and Jack Vogel Dual Momentum Investing by Gary Antonacci Little Book that Still Beats the Market by

The US dollar had a slightly negative relationship with the stock market since 1996 Some equity factors are more sensitive to changes in the US dollar than others On average the sensitivity is zero, but as often averages are misleading INTRODUCTION The Economist’s Big Mac Index measures if

Implicit subsidies are premia paid by large financial markets participants for reasons other than risk-return optimization (view post here). Their estimation requires skill and a strong “quantamental system”. However, implicit subsidies are behind the popularity and temporary success of many

This is probably my favorite side project I’ve done. I’ve always been interested in algorithmic trading, and it’s exciting to code something that can potentially repay you in the form of cold, hard cash. The bot is written in Python and relies on two core libraries for the majority of its

Motivation: “Buy the dip” — it’s a frustratingly simple piece of advice. Like most pieces of advice, it’s easier said than done and the giver of such advice has probably not attempted to practice what they preach. It induces FOMO, which leads to the “hope trade”, when the “hope

Tax loss harvesting is widely promoted, but we think the benefits are generally misunderstood and often overstated.(1) • The benefits of loss harvesting arise from tax deferral, similar to the benefits of saving in a retirement account. • The benefits of tax deferral rise and fall with expected

Nowadays it is nearly impossible to step into a quant trading conference without being bombarded with flyers from data vendors and panel discussions on news sentiment. Our team at QTS has made a vigorous effort in the past trying to extract value from such data, with indifferent results. But the

Over my last 16 years of research, one of the most asked questions is should you not take trades before an earnings release. I could never answer this question because I did not have the data. I can easily recall trades were a stock came out with poor earnings and crashed 25%. But without testing

Welcome to the concept of Meta-Labeling. This blog post investigates the idea and tries to help build an intuition for what is taking place. The idea of meta-labeling is first mentioned in the textbook Advances in Financial Machine Learning by Marcos Lopez de Prado and promises to improve model and

Recent public reports have underscored a crisis of reproducibility in numerous fields of science. Here are just a few of recent cases that have attracted widespread publicity: In 2012, Amgen researchers reported that they were able to reproduce fewer than 10 of 53 cancer studies. In 2013, in the

Imagine that you spend a few minutes a month to manage your investment. All is rule-based, statistically significant, simple and logical. No place for discretionary decisions, no guessing, no gut feeling, no forecasting. And in the long-term, you are almost sure to beat all the actively managed

Diverse hedge fund strategies can be replicated via factor-mimicking portfolios The analysis highlights that most returns are explained by factors, not alpha However, hedge funds can create value by harvesting factor returns efficiently via portfolio construction INTRODUCTION In 1973, the U.S. Food

One aspect of recent market action that is interesting is the weakness in the Russell vs the SPX over the last few days. While some may worry the divergence is concerning, an old Quantifinder study that appeared last night indicates the setup is likely suggestive of an upside edge. It looked at

Bonds are key to a well-diversified portfolio; they’ve provided both consistent returns and consistent diversification against riskier asset classes like stocks and real estate. But bonds face stiff headwinds in the coming years. That’s not prognostication, it’s a mathematical certainty.

mlfinlab is a “living and breathing” project in the sense that it is continually enhanced with new code from the chapters in the Advanced Financial Machine Learning book. We have built this on lean principles with the goal of providing the greatest value to the quantitative community. Currently

The Perfect Withdrawal Rate (PWR) is the rate of regular portfolio withdrawals that leads to a zero balance over a given time frame. 4% is the commonly accepted lower bound for safe withdrawal rates, but this is only based on one realization of history and the actual risk investors take on by using

Only showing the latest backtest versions without disclosing their out-of-sample degradation Backtesting today’s static holdings (managers, asset allocations, sub-asset-classes) into the past - filled with look-ahead bias Charging fees that are on par with the tracking error of the strategy Asking

In this week’s post, we discuss two posts. The first post, written by Elisabetta, examines a new method attempting to directly measure aggregate investor overconfidence. The second post, written by Larry Swedroe, examines issues that plague Factor Investing.

In this post I will be looking at a few things all combined into one script – you ‘ll see what I mean in a moment… Being a blog about Python for finance, and having an admitted leaning towards scripting, backtesting and optimising systematic strategies I thought I would look at all three at

We are creating a series of long-form educational videos that present materials often covered in our white papers. The intent of these videos is make our content more accessible to visual learners. The video below is a presentation related to a long-form post we have on a post called, “The

Analysing at which time daily market extremes are established shows the significance of the first and last hours of market action. See how different markets show different behaviour and see what can be learned from this analysis. Probability of Extremes A day of trading usually starts with a lot of

Decision trees are often used while implementing machine learning algorithms. The hierarchical structure of a decision tree leads us to the final outcome by traversing through the nodes of the tree. Each node consists of an attribute or feature which is further split into more nodes as we move down

I've been a little curious how the SPX strangle has been performing since I last analyzed it's results back in 2015. For this article, we'll just look at the following variations and how they performed from January 2007 through December 2018: 59 DTE - 16 Delta Short Strikes (100:50) /

Ever since Yahoo! Finance decommissioned their historical data API, Python developers looked for a reliable workaround. As a result, my library, fix-yahoo-finance, gained momentum and was downloaded over 100,000 acording to PyPi. fix-yahoo-finance aimed to offer a temporary fix to the problem by