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Fixed income analysis
In this text, readers will be introduced to a variety of important fixed income analysis issues, including the general principles of credit analysis, term structure and volatility of interest rates, and valuing bonds with embedded options.
Book
Regulation and Market Liquidity
We examine the effects of postcrisis financial regulation, encompassing the Dodd–Frank Act and Basel III, on market liquidity of the U.S. fixed-income market. We estimate structural breaks in a large panel of liquidity measures of corporate and Treasury bonds. Our methodology does not require a priori knowledge of the timing of breaks, can capture not only sudden jumps but also breaks in slow-moving trends, and displays excellent power properties. Against the popular claim that postcrisis regulation hurt liquidity, we find no evidence of liquidity deterioration during periods of regulatory intervention. Instead, breaks toward higher liquidity are often detected.
The online appendix is available at
https://doi.org/10.1287/mnsc.2017.2876.
This paper was accepted by Tomasz Piskorski, finance.
Journal Article
New methods in fixed income modeling : fixed income modeling
This book presents new approaches to fixed income modeling and portfolio management techniques. Taking into account the latest mathematical and econometric developments in finance, it analyzes the hedging securities and structured instruments that are offered by banks, since recent research in the field of fixed incomes and financial markets has raised awareness for changes in market risk management strategies. The book offers a valuable resource for all researchers and practitioners interested in the theory behind fixed income instruments, and in their applications in financial portfolio management.
Book
A Survey of the Microstructure of Fixed-Income Markets
In this article, we survey the literature that studies fixed-income trading rules and outcomes, including Treasury securities, corporate and municipal bonds, and structured credit products. We compare and contrast the microstructure and regulation of fixed-income markets with equity markets. We highlight the nature of over-the-counter trading in the face of search costs and the associated slow evolution of electronically facilitated intermediation. We discuss the databases available to study fixed-income microstructure, as well as measures and determinants of trading costs, and the important roles dealer networks and limited transparency play. We also highlight unresolved issues.
Journal Article
Systematic Fixed Income
Understand the role and potential of fixed income as an asset class Systematic Fixed Income: An Investor's Guide offers readers a powerful, practical, and robust framework for investors and asset managers to preserve the diversifying properties of a fixed income allocation, and add to that unique sources of excess returns via systematic security selection. In other words, this framework allows for efficient capture of fixed income beta and fixed income alpha. Celebrated finance professional Dr. Scott Richardson presents concrete strategies for identifying the relevant sources of risk and return in public fixed income markets and explains the tactical and strategic roles played by fixed income in typical portfolios. In the book, readers will explore: The implementation challenges associated with a systematic fixed income portfolio, including liquidity and risk The systematic return sources for rate and credit sensitive fixed income assets in both developed and emerging marketsAn essential read for asset managers and institutional investors with a professional interest in fixed income markets, Systematic Fixed Income: An Investor's Guide deserves a place in the libraries of advanced degree students of finance, business, and investment, as well as other investment professionals seeking to refine their understanding of the full potential of this foundational asset class.
eBook
Financial markets and trading : an introduction to market microstructure and trading strategies
\"Financial Markets and Trading Strategies covers three main parts: Market organization and microstructure theory, which will contain an overview of modern financial markets for equities, FX, and fixed income. There will be a description on various market types and market price formation with different types of traders and orders. Major theoretical microstructure models will be presented, as also concepts of the agent-based modeling of financial markets and important empirical properties of equity and FX markets. Common trading strategies and back-testing will summarize the concepts used in technical analysis and arbitrage trading (such as pairs trading and mean-reversion strategies). There will be a description of performance criteria and back-testing of trading strategies with re-sampling techniques and an outline of other ideas used in optimal order execution, such as optimal order slicing and maker-versus-taker strategies. The appendix will include Probability distributions and time series analysis. For self-contained presentation, there will be a description of the mathematical methods used in formulating trading strategies and their back-testing. There will be a focus on the linear regression, autoregressive and moving average models, trends, co-integration, and conditional heteroskedasticity. There will also be an introduction to resampling techniques, such as bootstrap and MCMC\"-- Provided by publisher.
Book
Short Selling and Price Discovery in Corporate Bonds
We show short selling in corporate bonds forecasts future bond returns. Short selling predicts bond returns where private information is more likely, in high-yield bonds, particularly after Lehman Brothers' collapse of 2008. Short selling predicts returns following both high and low past bond returns. This, together with short selling increasing following past buying order imbalances, suggests short sellers trade against price pressures as well as trade on information. Short selling predicts bond returns both in the individual bonds that are shorted and in other bonds by the same issuer. Past stock returns and short selling in stocks predict bond returns but do not eliminate bond short selling predicting bond returns. Bond short selling does not predict the issuer's stock returns. These results show bond short sellers contribute to efficient bond prices and that short sellers' information flows from stocks to bonds but not from bonds to stocks.
Journal Article
Fixed income securities : tools for today's markets
\"An up-to-date look at the most important issues surrounding fixed income securitiesFixed-income securities traditionally promised fixed cash flows (like bonds), but with recent innovations in this field, including products for which the promised cash flows depend on the level of interest rates, a new understanding of this subject is needed. That's why Bruce Tuckman and Angel Serrat have returned to create the Third Edition of Fixed Income Securities. Considered the go-to-guide for information on fixed income securities, this latest edition covers the most advanced thinking in the field and comprehensively shows how to value the complete universe of fixed income securities. Included are all the latest fixed income securities valuation models and techniques, as well as expert insights on their applications in real-world situations. The Third Edition also contains two new chapters dedicated to foreign exchange markets and corporate bonds, and credit-default swaps. Reflects the most current thinking on valuation and modeling of fixed income securities Includes examples, applications, and case studies to illustrate the practical uses of difficult concepts Follows a modern approach to fixed income application and risk control A companion Workbook is also available so you can hone your skills and test the knowledge you've gained from the actual text Fixed Income Securities, Third Edition approaches a theoretically demanding field from the working professional's point of view. From swaps and options to spreads of spreads and basis trades, this hands-on guide goes straight to the heart of fixed income knowledge and provides a template for trading and investing in the twenty-first-century marketplace\"-- Provided by publisher.
Book
Pricing interest rate derivatives under volatility uncertainty
In this paper, we study the pricing of contracts in fixed income markets under volatility uncertainty in the sense of Knightian uncertainty or model uncertainty. The starting point is an arbitrage-free bond market under volatility uncertainty. The uncertainty about the volatility is modeled by a G-Brownian motion, which drives the forward rate dynamics. The absence of arbitrage is ensured by a drift condition. Such a setting leads to a sublinear pricing measure for additional contracts, which yields either a single price or a range of prices and provides a connection to hedging prices. Similar to the forward measure approach, we define the forward sublinear expectation to simplify the pricing of cashflows. Under the forward sublinear expectation, we obtain a robust version of the expectations hypothesis, and we show how to price options on forward prices. In addition, we develop pricing methods for contracts consisting of a stream of cashflows, since the nonlinearity of the pricing measure implies that we cannot price a stream of cashflows by pricing each cashflow separately. With these tools, we derive robust pricing formulas for all major interest rate derivatives. The pricing formulas provide a link to the pricing formulas of traditional models without volatility uncertainty and show that volatility uncertainty naturally leads to unspanned stochastic volatility.
Journal Article