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ALGO TRADING & AI SubscribeSign in Share this post EXTENDING MOMENTUM INVESTING WITH GARY ANTONACCI blog.paperswithbacktest.com Copy link Facebook Email Note Other DISCOVER MORE FROM ALGO TRADING & AI As an insider in Algo Trading and AI, I share my insights. I aim to help you become a professional quant trader and achieve financial independence. Go to the home page at https://paperswithbacktest.com/ to discover the tools I make available to you. Over 28,000 subscribers Subscribe Continue reading Sign in EXTENDING MOMENTUM INVESTING WITH GARY ANTONACCI A RESEARCH ON MOMENTUM INVESTING THAT UNCOVERS HOW A GLOBAL, CROSS-ASSET APPROACH CAN REDEFINE YOUR INVESTMENT STRATEGY FOR ENHANCED RETURNS AND MINIMIZED RISKS. paperswithbacktest Apr 07, 2024 3 Share this post EXTENDING MOMENTUM INVESTING WITH GARY ANTONACCI blog.paperswithbacktest.com Copy link Facebook Email Note Other Share Hello! Today, between two articles on artificial intelligence (last week and next week), I offer you a deep dive in a paper I really liked, named Optimal Momentum: A Global Cross Asset Approach from Gary Antonacci. Despite its strong academic backing, highlighted by numerous studies and its proven track record over various time periods and asset classes, momentum investing isn't as widely recognized among everyday investors as one might expect. The interest of this paper is to delve into the essence of momentum investing and to show how it can be optimized to enhance portfolio performance. Algo Trading & AI is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe UNDERSTANDING MOMENTUM Momentum investing is basically buying things that have been doing well recently and selling those that haven't. This idea started a long time ago, around the early 1900s, when experts noticed that if something did well one year, it often did well the next year too. The real research into this started in 1937 with Cowles and Jones, who noticed that stocks doing better than average one year usually did better than average the next year too. But this idea didn't get really popular until much later. In the 1960s, a guy named Levy found out that if stocks did well in recent weeks, they tended to keep doing well. The big moment for momentum investing came in the 1990s thanks to researchers Jegadeesh and Titman. They found that stocks that had been strong over the past 6 to 12 months did better than those that hadn't, which went against the common belief that you can't consistently beat the market. Their findings showed that the stock market isn't just random chaos; you can actually spot patterns in how stocks perform over time, which was a big shake-up to the old idea that you can't predict the market. THE INNOVATION OF GARY ANTONACCI Momentum investing started with picking individual stocks that had been doing well, thinking they would continue to do well. The core idea of Gary Antonacci is it expand this idea, not just looking at stocks but at whole types of investments using ETFs. This made the investment strategy more varied. He particularly focused on global stock indexes divided into four world regions, checking which ones benefited most from momentum investing. Although these showed promising momentum results, they were also quite unpredictable. To tackle this, Antonacci cleverly mixed in fixed income investments (like bonds) into the strategy. Bonds were chosen when they were outperforming stocks, providing a strategic way to switch between different types of investments depending on their current success, aiming to boost returns while managing risk. The result is a strategy that did better than the usual ways of mixing stocks and bonds. Adding other types of investments like gold made it even better, showing that a mixed and smart approach could lead to better results with less risk. This new way of using momentum investing across different types of investments worldwide is a big step forward, offering a smart tool for planning and adjusting investment strategies. * Using Bonds: Normally, momentum investing focuses on stocks. But Antonacci found that adding bonds (which are usually less risky than stocks) to the investment mix can provide a safety net when the stock market goes down. If bonds are doing better than stocks, they get added to the portfolio, which can help protect and even increase money in tough times. * Adding Gold: Including gold in the portfolio is another way to diversify. Gold doesn't usually move in the same direction as stocks or bonds, so it can help steady the portfolio when the stock market is unpredictable. Antonacci's research shows that adding gold can reduce risk and improve the overall performance of the investment strategy. IMPLICATIONS AND PRACTICAL APPLICATIONS Gary Antonacci's study on momentum investing shows that using a strategy that picks assets based on their recent success can really boost how well a portfolio does. He suggests that instead of sticking with a set mix of investments, it's smarter to adjust what you invest in based on which assets are doing well at the moment. For example, if bonds are doing better than stocks lately, you might want to invest more in bonds. Traditionally, when people decide how to spread out their investments among different types like stocks, bonds, or gold, they stick to a set plan. But Antonacci believes it's better to be flexible and change your investment mix depending on which assets are currently performing the best. This way, you're not just diversifying by type of investment, but also by timing, taking advantage of when different assets are doing well. He also talks about using momentum investing both for long-term planning (strategic momentum) and for making quick, responsive decisions (tactical momentum) based on the market's current state. The iidea that momentum works at two levels: relative and absolute, to enhance returns while reducing potential downside risk. 1. Relative Strength Momentum (Relative Momentum): This aspect of the strategy involves comparing the performance of different assets or asset classes against each other over a specific period. The idea is to invest in the assets that have performed the best relative to their peers. For example, if you're comparing stocks and bonds, and stocks have outperformed bonds over the last year, you would allocate more to stocks. 2. Absolute Momentum (Trend Following Momentum): This component involves comparing the recent performance of an asset to its own historical performance. If an asset's recent price is higher than its price from, say, 12 months ago, it demonstrates positive absolute momentum, and the strategy would consider holding or buying the asset. If the asset's recent price is lower, indicating negative absolute momentum, the strategy would suggest selling or avoiding the asset. The dual momentum strategy combines these two approaches by first selecting assets with the strongest relative momentum and then filtering these selections through the lens of absolute momentum. For instance, if equities show strong relative momentum compared to bonds but demonstrate negative absolute momentum (meaning equities have declined over the past year), the strategy would avoid equities despite their relative strength and might shift to a safer asset class like bonds or even cash, depending on the specific rules set for absolute momentum. By integrating both relative and absolute momentum, the dual momentum strategy aims to capitalize on market trends while providing a mechanism to reduce exposure during downtrends, thereby aiming to offer a more robust risk-adjusted return profile than strategies that rely solely on either relative or absolute momentum. HOW CAN WE GO FURTHER? We have reimplemented Gary Antonacci's strategy here, on Paper With Backtest. Gary Antonacci's results for the 2005-2010 backtest period are confirmed, and we have extended the backtest beyond 2010: You can even run this backtest yourself at home by using the Python code of the strategy that is available at https://paperswithbacktest.com/paper/optimal-momentum-a-global-cross-asset-approach (you need to be logged in to see it). It's possible to go further than Gary Antonacci to improve the strategy. Here are a few ideas: 1. Exploring More ETF Types: As the variety of ETFs grows, we can look into creating ETFs for new kinds of investments, like cryptocurrencies or special industry sectors. This research would check how these new investments fit into momentum investing strategies and what their impact is on overall results. 2. Mixing Momentum with Other Methods: We can try combining momentum investing strategies with other ways people build their investment portfolios, like mean-variance optimization. This could give a fuller picture of how to arrange investments and might lead to stronger, more stable portfolios. 3. Using Momentum with Different Investments: Apart from stocks and bonds, momentum strategies might also work with other kinds of investments, like real estate or hedge funds. Future studies could find out if momentum strategies are useful for these other types of investments. 4. Applying Machine Learning: Using machine learning to spot momentum trends could be an exciting area to explore (see the AI module of the Algo Trading Course). This could make momentum strategies more precise and effective in algorithmic trading. 5. Looking at Why Momentum Works: Understanding the psychology behind momentum investing and what drives market trends could offer deeper insights into how and why momentum strategies work. By investigating these areas, you can expand on Antonacci's findings, exploring new ways to use momentum to improve investment results and handle risks. CONCLUSION Gary Antonacci's detailed research on momentum investing shows how using data to make investment decisions can really pay off. This study is a great example of how analyzing data can help make better investment choices. By looking at how different types of investments have done in the past, he found effective ways to use momentum strategies to improve portfolio performance, especially important in the fast-moving world of algorithmic trading. His research clearly shows that spreading investments across various types of assets using momentum strategies works better than sticking with traditional methods. This proves that momentum investing can be a powerful tool to increase investment success. Antonacci's findings encourage us, as investors, to rethink our strategies, pushing for a wider use of momentum strategies in putting together portfolios and deciding on asset allocation. He suggests that we could benefit from a more flexible and active approach. And for those who want to go further, I recommend this video by Gary Antonacci: Happy trading! Algo Trading & AI is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe Thank you for reading Algo Trading & AI. This post is public so feel free to share it. Share 3 Share this post EXTENDING MOMENTUM INVESTING WITH GARY ANTONACCI blog.paperswithbacktest.com Copy link Facebook Email Note Other Share Comments Top Latest Discussions A Complete Introduction to Python for Algo Trading Embarking on your algorithmic trading journey with Paper With Backtest: A comprehensive introduction to Python for crafting and executing trading… Mar 31 • paperswithbacktest 12 Share this post A COMPLETE INTRODUCTION TO PYTHON FOR ALGO TRADING blog.paperswithbacktest.com Copy link Facebook Email Note Other Strategies, Tools, and Techniques for Cost-Efficient Trading Master Algorithmic Execution to execute your trades at lower cost. 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