Derivatives Applications in Asset Management
From Theory to Practice
- 2025
- Book
- Editors
- Frank J. Fabozzi
- Marielle de Jong
- Publisher
- Springer Nature Switzerland
About this book
By displaying examples of derivatives applications in a series of investment settings, this book aims to educate readers on the use of these instruments. It helps readers to bridge the gap between the theory and practice of derivative instruments. It provides real-world applications of derivatives demonstrating how they can be used to achieve specific investment purposes, and will be of interest to investment management professionals including portfolio managers, risk managers, and trustees, alongside professors teaching and students studying asset management.
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Table of Contents
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Income Enhancement Strategies
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Frontmatter
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Chapter 28. Managing Path Dependency and Balancing Yield in Option Income Strategies
John BurrelloThe chapter delves into the critical aspects of path dependency and yield management in option income strategies, particularly covered call and cash-secured put strategies. It examines how the sequence and timing of price movements can lead to inconsistent results, as seen in the CBOE S&P 500 BuyWrite Monthly Index (BXM). The text underscores the challenges of balancing yield and total return, emphasizing that high distribution yields can jeopardize long-term capital growth. Through numerical examples and historical data, the chapter provides a robust framework for addressing these issues. It introduces laddering as a practical solution to mitigate the risks of path dependency by diversifying option expirations and strike levels. The chapter also highlights the importance of setting realistic yield targets to ensure portfolio sustainability, demonstrating how excessive yield targets can lead to capital erosion. By exploring these topics, the chapter offers valuable insights and practical solutions for achieving a balance between generating immediate income and preserving long-term growth potential in option income strategies.AI Generated
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AbstractThis chapter addresses the challenges associated with path dependency in option income strategies, such as covered call and cash-secured put strategies. Path dependency is inherent in these strategies, as the outcomes depend on the underlying asset's final price and the sequence and timing of price movements. This case focuses on understanding and mitigating these challenges to achieve consistent portfolio performance and sustainable income generation. The case uses the CBOE S&P 500 BuyWrite Monthly Index (BXM) as a benchmark to illustrate how single-path strategies can underperform in certain market conditions. The BXM generates income by systematically writing ATM call options tied to fixed expiration dates, but its rigid structure makes it vulnerable to adverse market timing. During rapid market rallies, the capped upside of ATM options limits participation in growth, and in declining markets, the premiums collected can fail to significantly offset losses. Historical data reveals that single-path strategies like BXM frequently experience inconsistent results, highlighting the need for diversification to reduce reliance on specific market outcomes. To address these issues, the case emphasizes the importance of laddering—a strategy that diversifies option expirations and strike levels across different time frames. By staggering option trades, laddering smooths income streams and reduces the impact of timing-related risks associated with single-path strategies. Additionally, the case explores the importance of balancing yield and total return. -
Chapter 29. Harvesting Volatility Risk Premium with Equity Index Options
Kari VatanenThe chapter begins by explaining the concept of the Volatility Risk Premium (VRP) and its significance in modern derivatives-based asset management. It discusses the economic and structural factors that contribute to the persistence of the VRP, including risk transfer processes, market inefficiencies, and behavioral tendencies. The chapter then presents a case study on harvesting the VRP using a one-month at-the-money (ATM) straddle on the S&P 500 index, dynamically hedged with futures to manage directional risk. The case study provides a detailed analysis of the strategy's mechanics, performance, and practical implications. It also highlights the opportunities and challenges associated with harvesting the VRP, including the potential for stable risk-adjusted returns and the need for careful risk management. The chapter concludes by discussing enhancements to traditional strategies, such as increasing hedging frequency and diversifying strike prices and expiration timings, to improve returns and reduce volatility exposure.AI Generated
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AbstractThe volatility risk premium (VRP) refers to the consistent difference between the implied volatility in option prices and the realized volatility of the underlying asset arising from market participants’ demand for protection against uncertainty. This premium, driven by institutional hedging activity and behavioral biases, offers a systematic opportunity for generating absolute returns. This chapter explains how asset managers can harvest the VRP through strategies that sell options to monetize this discrepancy while managing associated risks. More specifically, it provides an in-depth analysis of a one-month ATM straddle strategy on the S&P 500 Index, where both call and put options are sold to collect premiums, paired with daily delta hedging using futures to minimize directional risk. This strategy is highlighted for its ability to capture the VRP systematically while mitigating the potential for large losses during sharp market moves. The discussion further explores alternative approaches, such as safer structures like iron condors, which add additional out-of-the-money hedges to limit downside risks. The case emphasizes the importance of disciplined risk management in executing VRP-based strategies, addressing challenges such as volatility spikes and market dislocations. Refinements, including more frequent hedging and diversification across strike prices and expiration dates, are suggested to improve performance and reduce exposure to sudden market shocks. -
Chapter 30. Augmenting Covered Call Returns with Stock Index Options
Anil SoodThis chapter examines an innovative strategy to boost returns from covered calls by incorporating stock index options, with Nvidia as the primary example. It explores the fundamental mechanics of covered calls, emphasizing the role of implied volatility in option pricing and the unique risks of high-growth equities. The analysis contrasts single-stock options with index options, highlighting differences in implied volatility skews and their impact on strategy design. A central theme is the integration of S&P 500 index call options as a hedging tool to manage downside risk. The chapter also provides a real-life example, demonstrating position sizing, cash flow neutrality, and delta alignment to achieve optimal results. By the end, readers will gain insights into advanced techniques for managing covered call strategies on high-growth stocks and the role of index options in improving risk-weighted returns.AI Generated
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AbstractThis chapter describes a strategy to enhance the performance of covered call strategies by integrating stock index options. Using Nvidia, a high-growth stock with high implied volatility, as the central example, the case demonstrates how portfolio managers can generate additional income while mitigating risks associated with short call positions. The analysis introduces the fundamental mechanics of covered calls, where a portfolio manager sells OTM call options on held shares to collect premiums, generating income as long as the stock price remains below the strike price. The case contrasts single-stock options, like Nvidia’s, with index options, emphasizing differences in implied volatility dynamics. The case underlines a real-world example that illustrates the strategy, demonstrating the importance of position sizing to balance cash flow and delta alignment. By maintaining a proportional relationship between Nvidia and S&P 500 option positions based on beta and price correlation, the portfolio manager effectively hedges against potential losses while optimizing risk-adjusted returns. The case concludes by discussing the importance of evaluating correlation, implied volatility, and option premiums when designing adaptive covered call strategies. This case offers a robust framework for managing high-growth equities while enhancing income generation and risk management through innovative hedging techniques. -
Chapter 31. Targeting Options-Based Income with Puts and Calls
John Burrello, Han LiangThis chapter delves into the world of options-based income strategies, focusing on the practical application of covered calls and cash-secured puts to generate consistent income while managing risk. It explores three distinct approaches to targeting specific income levels: adjusting strike prices, modifying portfolio weights, and combining covered calls with cash-secured puts. Each strategy is evaluated based on key performance metrics such as total premium income, risk-adjusted returns, and downside risk. The analysis reveals that combining both calls and puts can offer a more balanced and consistent yield, along with enhanced downside cushion potential. The chapter also examines the impact of volatility skew on option pricing and income generation, providing insights into how investors can optimize their strategies in varying market conditions. Practical recommendations help portfolio managers align their options strategies with financial goals, balancing short-term income needs with long-term portfolio stability. By leveraging insights into skew dynamics, investors can design effective options-based income strategies that ensure robust performance across diverse market environments.AI Generated
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AbstractThe practical application of covered calls and cash-secured puts to generate consistent income while managing risk is presented in this chapter. These strategies allow portfolio managers to earn premium income by selling options on underlying assets, providing flexibility to target specific income levels while participating in market movements. The case analyzes three approaches to income targeting—adjusting strike prices, modifying portfolio weights, and combining covered calls with cash-secured puts—and evaluates their performance based on metrics like premium income, risk-adjusted returns, and downside risk. The case highlights the similarities and differences between covered calls and cash-secured puts. Both strategies share the same payoff profile when implemented with identical strike prices and expirations. However, combining the two strategies provides diversification and the ability to balance market participation and income generation. For instance, adjusting call strikes higher allows more equity-like returns, while lowering put strikes adds defensive characteristics. This flexibility enables investors to customize their strategies to meet income objectives while managing downside risk. The case also emphasizes the importance of volatility skew in optimizing option-based income strategies. Skew dynamics, where OTM puts often carry higher premiums than OTM calls, create opportunities to enhance yields and defensiveness by incorporating puts. A comparison of three illustrative strategies demonstrates that combining OTM puts and calls with variable strikes results in lower beta, reduced volatility, and more stable risk-adjusted returns compared to strategies that rely solely on calls. -
Chapter 32. Efficiently Replicating Corporate Bond Returns with CDS Indices
Johan Duyvesteyn, Patrick Houweling, Lodewijk van der LindenThis case study delves into the strategic use of credit default swap (CDS) indices as a cost-effective and efficient alternative to traditional corporate bond portfolios. It examines how CDS indices, such as the CDX and iTraxx, offer enhanced liquidity, lower transaction costs, and operational flexibility. The study compares traditional corporate bond portfolios with those replicated using CDS indices, revealing that the latter can achieve similar returns with reduced volatility and lower default rates. Key insights include the benefits of combining CDS indices with government bonds to replicate the risk-return profile of corporate bond indices, as well as the advantages of dynamic beta allocation strategies. The case study also addresses the tracking error associated with CDS indices and its implications for asset managers benchmarking against physical bond indices. Ultimately, it provides a comprehensive examination of the strategic value of CDS indices in modern portfolio management, highlighting their role in overcoming challenges such as illiquidity and high transaction costs associated with physical bond portfolios.AI Generated
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AbstractCDS indices, such as CDX and iTraxx, can be an efficient alternative to physical corporate bond portfolios. These indices enable portfolio managers to replicate corporate bond market exposure, benefiting from enhanced liquidity, lower transaction costs, and operational flexibility. By combining CDS indices with government bonds, managers can achieve similar risk-return profiles to traditional corporate bond indices while mitigating the challenges of investing in physical bonds, particularly in illiquid or distressed market conditions. This chapter details the mechanics of CDS index replication, highlighting how CDS indices allow portfolio managers to gain credit risk exposure while government bonds provide interest rate exposure. Compared to physical bonds, CDS indices offer higher liquidity and lower trading costs, making them an efficient tool for managing large portfolios. Additionally, the historical performance of CDS index-based portfolios shows lower volatility and default rates than traditional corporate bond portfolios, particularly during crises such as the 2007–2008 Global Financial Crisis and the COVID-19 market turmoil. CDS indices exhibit large relative risk (tracking error) for portfolio managers who benchmark against physical bond indices. However, patient managers focusing on long-term results may benefit from comparable returns with reduced volatility and fewer defaults. Moreover, the case demonstrates that dynamic beta allocation strategies using CDS indices can enhance portfolio returns. By employing a trend-following strategy based on past performance, managers can adjust credit exposure to capitalize on favorable market conditions while reducing risk during downturns. -
Chapter 33. Using Credit Default Swaps to Enhance the Return-to-Risk Profile of Buy-and-Hold Bond Portfolios
Marielle de JongThis case study delves into the strategic application of credit default swaps (CDS) to optimize the return-to-risk profile of buy-and-hold bond portfolios. By examining a hypothetical portfolio of 30 corporate bonds, the analysis demonstrates how CDS overlays can mitigate issuer-specific risks without compromising yield objectives. The study employs Monte Carlo simulations to evaluate performance metrics, including yield-to-maturity, Value at Risk (VaR), and Conditional Value at Risk (CVaR), providing a robust framework for assessing the impact of CDS. A notable feature is the focus on the Credit Suisse bond position, illustrating the tradeoffs between risk mitigation and return optimization. The analysis is grounded in the framework developed by Barclays’ Quantitative Portfolio Strategy (QPS) Group, emphasizing the importance of tail-risk measures in fixed-income portfolios. The study also contextualizes the use of CDS through the lens of the Credit Suisse collapse in 2023, highlighting the critical role of derivatives in managing systemic risks. By offering targeted protection against credit events, CDS overlays enhance portfolio resilience, particularly for liability-driven investment strategies. The findings underscore the value of integrating CDS into fixed-income strategies, providing practical insights for investors navigating the complexities of modern financial markets.AI Generated
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AbstractThis chapter demonstrates how CDS can be integrated into fixed-income strategies to improve portfolio performance and mitigate risks associated with issuer defaults. The analysis is based on a hypothetical buy-and-hold bond portfolio of 30 corporate bonds structured to generate regular cash flows over a multi-year horizon. The case highlights the potential of CDS overlays to transform passive investment strategies by introducing active risk management elements, protecting against credit events while maintaining yield objectives. The portfolio used in the case comprises a mix of investment-grade and lower-rated bonds, exposing it to varying levels of credit risk. Using Monte Carlo simulations, the study evaluates the impact of defaults on the portfolio, employing metrics such as Value at Risk and Conditional Value at Risk to assess tail risks. Without a CDS overlay, the portfolio faces significant downside risks. A partial CDS overlay strategy is used to address this. The overlay reduces the portfolio’s downside risk without impacting its yield-to-maturity, demonstrating its effectiveness in mitigating extreme losses while preserving returns. The case underscores the importance of evaluating the cost–benefit tradeoffs of CDS integration, considering both nominal and present-value metrics. This analysis provides practical insights into using CDS for navigating credit risks and enhancing portfolio stability in volatile market environments.
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Backmatter
- Title
- Derivatives Applications in Asset Management
- Editors
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Frank J. Fabozzi
Marielle de Jong
- Copyright Year
- 2025
- Publisher
- Springer Nature Switzerland
- Electronic ISBN
- 978-3-031-86354-7
- Print ISBN
- 978-3-031-86353-0
- DOI
- https://doi.org/10.1007/978-3-031-86354-7
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