Anthony Morris, Global Head of Quantitative Strategies, Nomura International
Dec 8, 2023
auto_awesome
Guest Anthony Morris, Global Head of Quantitative Strategies at Nomura International, discusses the vol risk premium in the equity market and credit spreads, as well as the credit risk premium. He also talks about the work his team is doing at Nomura in the Quantitative Investment Strategies business, highlighting the importance of considering strategy interactions and hidden co-movement in portfolio construction.
The interest rate volatility surface slopes downward, unlike the upward-sloping equity volatility surfaces, due to the mean-reverting nature of interest rates.
Commodities exhibit high procyclicality and experience drawdowns during equity market drawdowns, highlighting the importance of understanding hidden comovements for effective risk management.
Long-dated swaptions offer a unique investment opportunity as they allow for precise management of Vega exposure, although their implied volatility typically trades below realized volatility.
Deep dives
The Nature of Interest Rate Volatility
The interest rate volatility surface slopes downward, which differs from the upward-sloping equity volatility surfaces. This is due to the different nature of interest rates, which follow a mean-reverting process. The Formosa market, often blamed for this slope, is not a major cause of the volatility surface shape. While the market influences seasonality and dealer hedging, it does not significantly impact the overall volatility surface shape.
Commodities & Equities in Drawdowns
Commodities often experience drawdowns during equity market drawdowns, showing a high level of procyclicality. Traditional correlation measures may not reveal this relationship, but it is a relevant factor in understanding portfolio dynamics across asset classes. Understanding how different strategies interact during drawdowns and uncovering hidden comovements is crucial for effective risk management.
Long-Dated Swaptions on Rates
Long-dated swaptions, such as the 20-year swaption on 20-year rates, offer an interesting investment opportunity. While the interest rate volatility surface slopes downward, long-dated swaptions allow for a fine separation between gamma (positive convexity) and Vega (volatility exposure). This separation enables investors to manage Vega exposure more precisely than in other asset classes. However, the implied volatility of swaptions generally trades below realized volatility, which is not an arbitrage opportunity but reflects the unique dynamics of the swaption market.
Operational Convenience for Quantitative Strategies
Quantitative investment strategies provide operational convenience for portfolio managers who want to access investment opportunities that their operational constraints don't allow them to. The growth of the business is evident from the creation of over a thousand new strategy indices in 2022.
Interaction and Similarity of Different Strategies
While various quantitative investment strategies may seem different in terms of instruments and language, they can have fundamentally similar risks. For example, the FX carry trade and long-short interest rate strategies can have similar risk dynamics during market crises. Understanding the drivers of performance, such as the difference between implied and realized volatilities and the sliding along the skew, can provide insights for combining strategies effectively.
Tony Morris, Global Head of Quantitative Strategies at Nomura International, has spent 25 plus years studying complex market pricing relationships across asset classes, with a focus on derivatives. Our conversation explores some of the factors that drive asset price outcomes, first, considering the vol risk premium. Observing the consistent shortfall of realized versus implied vol in the equity market, Tony details a similar circumstance in credit where realized defaults are lower than implied by spreads. He suggests that the existence of both the equity VRP and the credit risk premium are tied to fact that both have beta to the SPX, which in turn enjoys its own risk premium.
Our conversation shifts to the work that Tony and his team are doing within the larger Quantitative Investment Strategies, or QIS, business at Nomura. We touch briefly on the history of QIS, a business motivated by end user interest in systematic strategies that require substantial market access, modelling and operational infrastructure. At its core, QIS enables the outsourcing of these critical components to a dealer who can package complex exposures into a neatly delivered contract.
We talk broadly about the set of products that comprise the taxonomy of QIS. Here, Tony cautions that in constructing a portfolio, it’s important to carefully consider the way in which strategies interact, with attention to hidden co-movement. We spend the last part of our discussion on long-dated swaption straddles on long dated US rates, a topic Tony and team have done a deep dive on. Their work suggests that an overlay of 20y20y – that is 20 year swaptions on 20 year swaps – has very favorable correlation, carry and convexity characteristics. Along the way in sharing the results, Tony debunks a few commonly held assertions around the factors driving the returns.
I hope you enjoy this episode of the Alpha Exchange, my conversation with Tony Morris.
Get the Snipd podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share & Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode