The “stock market,” at least as measured via the S&P 500, has been on an epic performance run — especially relative to almost all asset classes. It doesn’t matter whether you look at the other asset classes by geography (e.g., US, developed, emerging), style (e.g., value, momentum), or

I have seen a fair amount of hubbub about the Russell “Death Cross” that is happening today and the potential bearish implications for the market. A “Death Cross” is a catchy (though perhaps not terribly accurate) term for when the 50-day moving average of a security cross below its 200-day

Rolling 12-month returns for the Newfound Multi-Asset Income strategy are currently ranked 47th of 49 since strategy inception in September 2013. We reflect upon research performed over the last several years that continually points back to one critical idea: yield matters. We rebuild this

Portfolio turnover of equity factors can be reduced significantly by trading more conservatively However, reducing turnover does not necessarily increase risk-return ratios It all depends on transaction costs INTRODUCTION Turnover in business tends to be positive or negative, depending on the

What are the research questions? Do hedge funds exploit stock mispricing? Specifically, do hedge funds tend to hold undervalued stocks that exhibit positive alphas? Do hedge funds profit from these holdings in undervalued stocks? Does the trading in these stock reduce mispricing? What are the

Public institutions have developed a wide range of methods to track systemic financial risk. What most of them have in common is reliance on financial market data. This implies that systemic risk indicators typically only show what the market has already priced, in form of correlation, volatility or

A negative October for the State of Trend Following, which sends the YTD performance just in the red. Please check below for more details. Detailed Results The figures for the month are: October return: -2.42% YTD return: -1.38% Below is the chart displaying individual system results throughout

A new financial research paper has been published and is related to all equity long short strategies but mainly to: #33 - Post-Earnings Announcement Effect Authors: Li Title: Does Too Much Arbitrage Destablize Stock Price? Evidence from Short Selling and Post Earnings Announcement Drift. Link:

What is an Ensemble Strategy or Method? “In statistics and machine learning, ensemble methods use multiple learning algorithms (trading strategies in our case) to obtain better predictive performance than could be obtained from any of the constituent (individual strategies) learning algorithms.”

Gradient Descent is one of the most important algorithms in Machine Learning. It is an iterative method to find the minimum of a given function. That is the reason why today we will go through the intuition behind it and cover a practical application. Concepts to keep in mind Let’s start. For any

The Trading Show Chicago is the only event that combines quant, automated trading, exchange technology, big data and derivatives. Whether you’re focused on new quantitative models, adopting low latency systems or managing risk, The Trading Show Chicago provides unparalleled opportunities to

Slicing and dicing the US equity market into factor buckets is, at its core, an effort to enhance return by engineering more control over risk management. A key part of this framework is recognizing that risk and return for the stock market overall is a byproduct of multiple factors, such as shares

In this blog, we will intuitively understand how a neural network functions and the math behind it with the help of an example. In this example, we will be using a 3-layer network (with 2 input units, 2 hidden layer units, and 2 output units). The network and parameters (or weights) can be

October 2018 Trend Following: DOWN -6.13% / YTD: -14.45% Please find this month’s report of the Wisdom State of Trend Following. Performance is hypothetical. Chart for October: Wisdom State of Trend Following - October 2018 And the 12-month chart: Wisdom State of Trend Following 12 months -

Using a tool like Bollinger Bands® to forecast future price ranges is a time-honored technique but its calculations are simplified and in some situations flawed. Incorporating the log-normal nature of stock prices into the calculations gives better answers. One greed inducing aspect of volatility

In recent years, machine learning techniques and big-data facilities have become quite popular in the finance and investment world. In the wake of this success, numerous machine learning researchers have decided to found their own asset management companies, hoping to capitalize on this trend. This

The article addresses the estimation of capacity for an equity fund that forms portfolios based on a given investment strategy. It fits within three strands of literature: i) theoretical models of optimal trading or portfolio construction under alpha erosion and trade frictions; ii) empirical

The benefits of diversification are often touted, but many investors feel disappointed in diversified portfolios because of the dispersion in performance of the individual holdings. In the context of three different unconstrained sleeves, we look at a way to measure and visualize the benefit (or

The Profitability factor generated attractive returns in the US and Europe since 1990 It is difficult to explain why investors should be compensated for holding highly profitable companies The Investment factor was less attractive and is unusual from a financial analyst’s perspective INTRODUCTION

Today I decided to look at SPX performance following past mid-term elections. I did not find much that suggested a strong edge. Below is a look at results since 1970 following mid-term elections. 2018-11-04-1 The numbers suggest perhaps a mild inclination for the market to “celebrate” the

We have mentioned it several times - we are quants but we love history and we love research papers like this: Author: McQuarrie Title: The First Eighty Years of the US Bond Market: Investor Total Return from 1793, Combining Federal, Municipal, and Corporate Bonds Link:

Real interest rates on ‘safe’ assets such as high-quality government bonds had been stationary around 2% for more than a century until the 1980s. Since then they have witnessed an unprecedented global decline, with most developed markets converging on the U.S. market trend. There is evidence

This week Ryan and I discuss two topics. First, we discuss a paper examining the performance of bank affiliated mutual funds. Second, we examine a post by Larry Swedroe on diversification. Paper Links: Do Bank Affiliated Funds Underperform Affiliated Funds? Asset Diversification in a Flat World.

This is a summary of the recent performance of a wide range of excellent tactical asset allocation 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 are

Diversification is a fundamental principle of prudent investing due to its ability to mitigate/minimize risks. In fact, it has been called the only free lunch in investing because, done properly, it can reduce risk without reducing expected returns. This led to the conclusion that investors should

With the calendar moving from October to November, it has now entered its “Best 6 Months”. The “Best 6 Months” tendency was first published by Yale Hirsch, founder of the Stock Trader’s Almanac, in 1986. The concept behind the “Best 6 Months” is simple. Seasonality suggests that over

Journalists love to talk about bubbles. The Wall Street Journal has hinted at bubbles in both the Chinese stock market and the market for Bitcoin during the past month alone. But, financial economists are much more reluctant to call something a bubble. There’s debate about whether bubbles even

If all finance developers around the world were asked to choose the main nightmare they have to face on daily basis, I bet most of them would choose ‘overfitting’. Furthermore, imagine you have to develop an algorithm which has only one ‘ingredient’ to be modelled, only one time-series

Research suggests that simple heuristics are often far more robust than more complicated, theoretically optimal solutions. Taken too far, we believe simplicity can actually introduce significant fragility into an investment process. Using trend equity as an example, we demonstrate how using only a

This research note was originally published by the CFA Institute’s Enterprising Investor blog. Here is the link. SUMMARY Low-volatility stocks have outperformed the market over the last 25 years The strategy has reduced equity drawdowns in the US, Europe, and Japan significantly However,

This morning I saw the chart on Ritholz.com of what happens when you miss the best X days of the market. I see a variation of this chart often and is used to argue why someone should not try and time the market. One concept I like to do is to invert. Meaning try the opposite idea and see what you

Variance term premia are surcharges on traded volatility that compensate for bearing volatility risk in respect to underlying asset prices over different forward horizons. The premia tend to increase in financial market distress and decrease in market expansions. Variance term premia have

You can watch the video via the link below: This week Ryan and Jack discuss several important topics. First, they discuss the tracking error associated with trend-following strategies. Second, they chat about a paper by researchers from Goldman Sachs, “Constructing Long-Only Multifactor

Bloomberg last week published an intriguing story about a new exchange traded fund (ETF) that uses artificial intelligence (AI) to outperform market indexes and active managers alike. The implication: a new era of AI-driven investing has dawned, putting the standard applications of indexing at a

A question I’ve received in the past is the following: If you could go back in time five years ago and tell yourself something about investing, what would it be? My response is the following: Tracking error. First, what is tracking error?(1) Tracking error is a measure of how much a strategy

As we approached the close I noted on Twitter (@QuantEdges) that the Quantifiable Edges Capitulative Breadth Index (CBI) was starting to spike. And the closer we got to 4pm EST, the higher it got. At the end of the day, the CBI finished at 10, which is a level I have long considered bullish. The

Smart Beta ETFs are achieving an increasing popularity, seen as the perfect equilibrium between passive investment and active management. But, what’s the difference between them and the traditional ones? Is it possible to create our own ETF with some previous experience and without assuming higher

Over the past 32 years, October has been the most volatile month on average for the S&P500 and December the least, in this article we will use simulation to assess the statistical significance of this observation and to what extent this observation could occur by chance. All code included! Our

In this commentary we attempt to identify the sources of performance in long/short equity strategies. Using Kalman Filtering, we attempt to replicate the Credit Suisse Long/Short Liquid Index with a set of common factors designed to capture equity beta, regional, and style tilts. We find that as a

Statistical arbitrage has attractive strategy characteristics However, the returns are highly dependent on transaction costs Best used as a tactical strategy when volatility is high INTRODUCTION Equity markets in 2018 can be characterized by divergence. There is the US, showing strong returns,

At long last, it’s here! MATH-TWS is a new Mathematica package that connects Wolfram Mathematica to the Interactive Brokers TWS platform via the C++ API. It enables the user to retrieve information from TWS on accounts, portfolios and positions, as well as historical and real-time market data.

The heightened interest in factor investing has been accompanied by a corresponding focus on the nuts and bolts of constructing multifactor portfolios. There are essentially two ways to go: In a one-step process, single factor signals are blended into a composite signal and one multifactor portfolio

As part of my recent research I have found it convenient to write another custom plotting function for Octave, which plots a single line price plot against a conditionally coloured background, e.g. two separate colours for bull and bear market regimes. Being able to plot like this avoids the

This week Ryan and I have a discussion on three topics. First, we discuss ETF tax efficiency based on the findings in a new paper by the RAFI team. Second, we discuss the profitability factor as Larry Swedroe highlights a new paper on international evidence. Third, we discuss my article on how one

One of the most asked questions when dealing with several features is how you can summarise or transform them to similar scales. As you probably know, many Machine Learning algorithms demand the input features being in similar scales. But, what if they aren’t? Can we just work with raw data in the

Robert Novy-Marx’s 2013 paper “The Other Side of Value: The Gross Profitability Premium” not only provided investors with new insights into the cross-section of stock returns, but also helped further explain some of Warren Buffett’s superior performance. (Wes Gray summarized that paper

I was recently at a NWTTA presentation about the “S&P 500 Dividend Aristocrats” and how to trade these stocks. The strategy was part quantitative and part discretionary. It was popular talk with lots of good questions. People always seem interested in dividend stocks but for me they are just

Close to 1,000 finance professionals registered to attend the event, an increase of nearly 50% from last year’s event. Surely, artificial intelligence and big data continues to grab the attention of the investment industry. The event took place on September 12, 2018 at the Convene Center by Times

“What is the correct benchmark for trend following?” This is a difficult question, and there really is no perfect answer. As many of our readers know, we are fans of trend following and trend-followed portfolios. For those unfamiliar with trend following, the idea is rather simple–invest in an