Few people are brave enough to put their entire net worth into a CTA fund or home grown trend following strategy (my fellow co-host on the TTU podcast, Jerry Parker, being an honorable exception with his 'Trend following plus nothing' portfolio allocation strategy). Most people have

Would you like to see the performance of your portfolio 100 years back in history? Do you want to analyze the risk of your strategy under 100 years of real historical scenarios? All of these, and much more, will be soon (in a few days) available for Quantpedia Pro subscribers. How? We will explain

n this article, the author examines the research published over the last 30 years on momentum and its theoretical credibility. One of the original momentum articles was published by Jegadeesh and Titman in 1993, and is considered the seminal work on the topic. The research review contained in this

Yesterday I found another piece of ignorance on Medium: Stop Watching The VIX, Just Make Your Own tl;dr : Just use ATM straddles. This is of course not correct. As I have written before on this blog that (skipping mathematical rigor) the value of ATM straddle is or about 80% of the expected

The VIX currently trades within its top quartile since 1990 Using volatility to time equity allocations is a widely used strategy However, it is challenging to pursue this over the long-term INTRODUCTION The One Ring from J.R.R. Tolkien’s Lord of the Rings saga is a plain gold ring unless it is

Candlesticks are a common way to represent price and volume of an asset over a period of time. There are various common types of bars such as time, volume, tick bars, hieken-ashi, renko to name a few. There is a lot of information about the implementations of these on the internet so their details

This article discusses the academic research about the Momentum Gap and the role that its predictive potential may have in reducing momentum crashes, hence possibly improving performance. In our book “Your Complete Guide to Factor-Based Investing,” Andrew Berkin and I presented the evidence

A recent paper suggests identifying financial market regimes through the correlations of asset class returns. The basic idea is to calculate correlation matrixes for sliding time windows and then estimate pairwise similarities. This gives a matrix of similarity across time. One can then perform

In this article, the author examines several important questions related to asynchronous trading, or the variation in trading frequency that occurs when trading stocks or other assets. Timo Wiedemann, University of Muenster (Germany) The newest version of the paper can be found here. What are the

A common question I get is whether mean reversion is still working. My response is I am still trading a mean reversion strategy but the edges seem to get smaller. Over the year I have investigated this. I was asked again recently and wanted to investigate again. Here are the results of my 2022

What does live algorithmic trading on the Cloud mean? Rerequisite – Basic Guide What are the pros of deploying your trading strategies to the Cloud? What are the cons of deploying your trading strategies to the Cloud? What is the Cloud Service? What is the Cloud used for? What cloud providers are

In this article we’ll be discussing a fast way of logging in Rust and its application to high frequency trading. The code presented here solves two problems, one is well known, the latter less so. It is a imperative to avoid using IO operations within the strategy thread, but logging operations

“Hedge funds” were pioneered some 70 years ago by Australian financier Alfred Winslow Jones. His idea was to combine a “long” position (i.e., one that profits if the securities go up in price), typically a set of growth stocks, with a “short” position (i.e., one that profits if the

Thematic products underperform the stock market on average The exposure to the momentum factor was low to negative recently Systematic performance chasing beats performance chasing with a narrative INTRODUCTION Space: the final frontier. Where no man has gone before…. Well, wealthy folks can now

The rise of stock indexing has raised concerns that index investing distorts stock prices—indexers are free riders who rely on prices without contributing to price discovery, thus reducing price efficiency. Byung Ahn and Panos Patatoukas, authors of the study “Identifying the Effect of Stock

Announcing that MlFinLab is fully integrated into the powerful backtesting and execution platform of QuantConnect! At the start of 2022, we set out to improve the user experience across all of our products and to improve the accessibility of our libraries. This meant integrations into platforms that

The estimation of empirical correlation matrices in finance is known to be affected by noise, in the form of measurement error, due in part to the short length of the time series of asset returns typically used in their computation1. Worse, large empirical correlation matrices have been shown to be

In this post we look at what major asset classes have proven to be the best defensive choice in months when the market has fallen over the last 50+ years. We’ll look at multiple government and corporate bond assets, diversified commodities, gold and the US dollar. The results? As expected, a mixed

The recent surge in global inflation sent shock waves across financial markets and affected the complicated relationship between stocks and bonds. Today, we would like to present you with a review of two interesting papers, which provide both a deep and easy-to-understand examination of the

The blog has previously addressed interest rates in a post that splits the yield rate curve into three relevant components. This time this post tries to identify the influence of interest rates on fixed income assets by using the Granger causality test. Interest rates obviously have a strong impact

A stock index is just a list of stocks. But an index is a special list because investors use it to make investing decisions. An index is constructed via rules about stocks to include, how much to include, and when to include (or remove it). Finding this data, especially for more obscure indexes, can

In this article, we examine the research that addresses the question of whether or not democracy leads to better possible outcomes for the stock market. Democracy and Stock Returns Xun Lei and Tomasz Piotr Wisniewski SSRN Working Paper A version of this paper can be found here Want to read our

Many brokers and exchanges can nowadays be accessed online with a REST API. The days of awkward proprietary broker APIs are coming to an end. This article is a step by step instruction of implementating a REST API interface in plain C for connecting a trading system to the Bittrex cryptocurrency

The carry trade was positive across most asset classes in YTD 2022 The correlations to the S&P 500 were low historically However, the carry trade crashed when stocks crashed, ie provided limited diversification benefits INTRODUCTION After a few years in unchartered territories, most bonds have

If you take all available VIX futures data and create a scatterplot of daily settlement prices as a function of time to expiration you will see a curious pattern: Yes, there are clear clusters in prices. But what do these clusters mean? The simple explanation is that the VIX term structure passes

This is not a post to correct some abstract mathematical technicality, or a semantic point. Rather I hope to shed some light on widespread mis-estimation of important risk metric that I often see on the internet. For example this double-decker of ignorance popped up on my twitter feed today. VIX as

Employment growth is an important and underestimated macro factor of financial market trends. Since the expansion of jobs relative to the workforce is indicative of changes in slack or tightness in an economy it serves as a predictor of monetary policy and cost pressure. High employment growth is

It is well documented in the literature that over the long term, low-investment firms have outperformed high-investment firms—with the negative relation between asset growth (AG) and future stock returns particularly featured by the overvaluation of high AG stocks. This finding has led to the

Post–earnings-announcement drift (abbr. PEAD) is a well-researched phenomenon that describes the tendency for a stock’s cumulative abnormal returns to drift in the direction of an earnings surprise for some time (several weeks or even several months) following an earnings announcement. There

The two big up days to start last week have now been followed by 5 down days in a row. And the 5-day selloff has put the NDX at a new bear-market closing low. The study below looks at other times since 1990 that NDX closed down for the 5th consecutive day and at a 150-day low. NDX performance after

In this post we are going to revisit (check previous post) the catchy market maxim ”sell in May and go away”. After 2 bear markets in the last 3 years and yet another red September, once again, here I am in October, wishing I had sold in May. Let’s simulate the different variations of this

In the previous article in this series we installed and configured SLURM to enable us to parellelise work loads. In this article we will be using SLURM to install QSTrader on all our secondary nodes. This will enable us to multiple run parameter sweeps for backtests of single or multiple strategies

In the last article, we discussed how Decision Trees and Random Forests can be used for forecasting. While mean and point forecasts are the most obvious applications, they might not always be the most useful ones. Consider the classic example of financial returns, where the conditional mean is hard,

Previously on this blog, we wrote about a machine-learning-based parameter optimization technique we invented, called Conditional Parameter Optimization (CPO). It appeared to work well on optimizing the operating parameters of trading strategies, but increasingly, we found that its greatest power

In order for investors to determine which of the hundreds of factors in what John Cochrane famously called the “zoo of factors” were worthy of investment, Andrew Berkin and I set out seven criteria in our book “Your Complete Guide to Factor-based Investing.” For a factor to be considered, it

The Factor Multiverse: The Role of Interest Rates in Factor Discovery Jules H. van Binsbergen (University of Pennsylvania), et al. September 2022 We study the importance of the decline in interest rates in the discovery of asset pricing anomalies. We investigate 153 discovered anomalies as well as

If you follow Quantpedia’s blogs, you probably know that Quantpedia PRO already contains multiple risk management and portfolio construction tools for your quantitative investment strategies. For example, Crisis Hedge can find you suitable investment hedges for negative months and for bear

Value is leading the performance scoreboard in YTD 2022 Low volatility is the worst-performing factor Oddly, the value and low volatility factors are strongly positively correlated INTRODUCTION We present the performance of five well-known factors on an annual basis for the last 10 years.

Transaction costs are a key consideration for the development of trading strategies; and not just in final profitability checks. Indeed, disregard for trading costs at the design stage leads to excessive reliance on fleeting small-scale characteristics for return predictors. It also skews the

In the first post of this series about the Sharpe ratio considered as a statistical estimator, I introduced a probabilistic framework to answer the question What is the probability that an estimated Sharpe ratio is statistically significantly greater than a reference Sharpe ratio? In this second

Bonds are typically considered safe investments However, there were decades of negative real returns Drawdowns reached 50% for U.S. Treasuries and Bonds INTRODUCTION Inflation greater than 10% was unknown for the majority of people in developed markets before this year, but it is nothing

So much useful data has a date or time component. Often, data has a timestamp to represent when the data was acquired, or when an event will take place, or as an identifying attribute like an expiration date. For this reason, understanding how to work with dates and times effectively can be a very

Inflation-linked bonds are considered inflation-hedges However, these have lost almost as much as plain-vanilla bonds in 2022 The sensitivity to interest rates matters more than that to inflation INTRODUCTION Inflation is the biggest issue facing the U.S. and is more important to citizens than

Manager-selected benchmarks are suboptimal as they are not free of conflict of interests Investors can use sectors to identify more appropriate benchmarks However, this ignores factors, which are better at explaining investment returns INTRODUCTION In our last research article (Mirror, Mirror on the

I will be publishing some of my research notebooks, starting with downloader for VIX data, fitting Nelson-Siegel model for term structure ( static ) , and dynamic ( Kalman Filter ), and possibly some recent work I did on regime clusters in VIX and ML for VIX trading. Here is the link to the first

Consumer demand drives the cash flows of consumer-oriented companies. Thus, they should serve as a reliable source of information to predict future fundamentals above and beyond the information contained in financial statements and readily available market data. For example, Jiekun Huang, author of

In 2019, the SEC proposed that all brokers and advisors be required to determine whether or not their clients understood the risks of investing in levered and inverse exchange traded products before selling such products to them. The SEC moved on this requirement in response to a series of fund

We’re happy to share that today we published the code for 15 brokerage integrations to our open-source platform, LEAN. One step toward the future we’re building. LEAN handles all of the data and brokerage infrastructure for you so you can focus on what matters most: creating brilliant

The past few years in the stock market have been pretty crazy. And the pinnacle of “crazy” was during March 2020 — peak chaos in the stock market. Below is a chart of US large-cap stocks and small-cap stocks in 2020. Note the monster crash in March — watch out below! Source: koyfin.com As an

Today, Deep Learning dominates many areas of modern machine learning. On the other hand, Decision Tree based models still shine particularly for tabular data. If you look up the winning solutions of respective Kaggle challenges, chances are high that a tree model is among them. A key advantage of