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Term-Structure Modelling at the Zero Lower Bound

Author : Tsz-Kin Chung
Publisher :
Page : 7 pages
File Size : 35,60 MB
Release : 2018
Category :
ISBN :

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Although the affine Gaussian term-structure model has been a workhorse model in termstructuremodelling, it remains doubtful whether it is an appropriate model in a low interest rate environment. This paper uses an alternative quadratic Gaussian-term structure model which is well known to be as tractable as the affine model and yet is suitable for interest rates close to zero. Compared with the quadratic model under the zero lower bound, we illustrate how the forward term premium can be biased upward under the affine model both theoretically and empirically.

Zero Lower Bound Term Structure Modeling

Author : L. Krippner
Publisher : Springer
Page : 436 pages
File Size : 34,13 MB
Release : 2015-01-05
Category : Business & Economics
ISBN : 1137401826

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Nominal yields on government debt in several countries have fallen very near their zero lower bound (ZLB), causing a liquidity trap and limiting the capacity to stimulate economic growth. This book provides a comprehensive reference to ZLB structure modeling in an applied setting.

The Term Structure of Interest Rates, Monetary Policy, and Macroeconomy

Author : Fan Dora Xia
Publisher :
Page : 105 pages
File Size : 41,3 MB
Release : 2014
Category : Interest rates
ISBN : 9781321085112

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This dissertation studies the relationship between the term structure of interest rates, monetary policy, and macroeconomy. The first chapter, A Parsimonious No-Arbitrage Term Structure Model that is Useful for Forecasting, offers a solution to a well-known puzzle in the term structure literature. The puzzle is that while the level, slope and curvature (or the first three principal components of yields) can quite accurately summarize the cross-section of yields at any point in time, different functions of interest rates and other macroeconomic variables appear to be helpful when the goal is to predict future interest rates. My paper proposes a parsimonious representation to capture this feature in a large dataset. In the first step, I run reduced rank regressions of one-year excess returns on a panel of 131 macroeconomic variables and initial forward rates from 1964 to 2007. I find that a single linear combination of macroeconomic variables and forward rates can predict excess returns on two- to five-year maturity bonds with R-squared up to 0.71. The forecasting factor subsumes the tent-shaped linear combination of forward rates constructed by Cochrane and Piazzesi (2003) and explains excess returns better. In the second step, I estimate a restricted Gaussian Affine Term Structure Model (GATSM) with the level, slope and curvature commonly used by most term structure models along with the forecasting factor. Restrictions are derived based on the fact that while cross-sectional information in yields is spanned by the level, slope and curvature, cross-sectional information in expected excess returns is spanned by the forecasting factor. Compared with a conventional GATSM only including the level, slope and curvature, the restricted four-factor GATSM generates plausible countercyclical term premia. The second and third chapter focus on the recent zero lower bound (ZLB) period. In the second chapter, Measuring the Macroeconomic Impact of Monetary Policy at the Zero Lower Bound, coauthored with Cynthia Wu, we employ an approximation that makes a nonlinear shadow rate term structure model (SRTSM) extremely tractable for analysis of an economy operating near the zero lower bound for interest rates. We show that such a model offers a better description of the data compared to the widely used GATSM. Moreover, the model can be used to summarize the macroeconomic effects of unconventional monetary policy at the ZLB. Using a simple factor-augmented vector autoregression (FAVAR), we show that the shadow rate calculated by our model exhibits similar dynamic correlations with macro variables of interest in the period since 2009 as the fed funds rate did in data prior to the Great Recession. This result gives us a tool for measuring the effects of monetary policy under the ZLB, using either historical estimates based on the fed funds rate or less precisely measured estimates inferred solely from the new data for the shadow rate alone. We show that the Fed has used unconventional policy measures to successfully lower the shadow rate. Our estimates imply that the Fed's efforts to stimulate the economy since 2009 have succeeded in lowering the unemployment rate by 0.13% relative to where it would have been in the absence of these measure. The third chapter, Effects of Unconventional Monetary Policies on the Term Structure of Interest Rates, offers a complete characterization of effects of unconventional monetary policies on interest rates by examining policies' impacts on the whole yield curve. I make use of the SRTSM to summarize all interest rates with factors of lower dimension so that I can capture responses of all interest rates in a parsimonious way. By investigating how policy announcements affect the three factors and then the whole forward curve accordingly, I find that during the ZLB period, forward rate with short maturities are constrained, while forward rates with long maturities still respond to policy announcements. Following each easing (tightening) policy announcement, long forward rates would decrease (increase) by 10 basis points on average.

Handbook Of Financial Econometrics, Mathematics, Statistics, And Machine Learning (In 4 Volumes)

Author : Cheng Few Lee
Publisher : World Scientific
Page : 5053 pages
File Size : 46,84 MB
Release : 2020-07-30
Category : Business & Economics
ISBN : 9811202400

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This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.

Term-Structure Models

Author : Damir Filipovic
Publisher : Springer Science & Business Media
Page : 259 pages
File Size : 34,97 MB
Release : 2009-07-28
Category : Mathematics
ISBN : 3540680152

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Changing interest rates constitute one of the major risk sources for banks, insurance companies, and other financial institutions. Modeling the term-structure movements of interest rates is a challenging task. This volume gives an introduction to the mathematics of term-structure models in continuous time. It includes practical aspects for fixed-income markets such as day-count conventions, duration of coupon-paying bonds and yield curve construction; arbitrage theory; short-rate models; the Heath-Jarrow-Morton methodology; consistent term-structure parametrizations; affine diffusion processes and option pricing with Fourier transform; LIBOR market models; and credit risk. The focus is on a mathematically straightforward but rigorous development of the theory. Students, researchers and practitioners will find this volume very useful. Each chapter ends with a set of exercises, that provides source for homework and exam questions. Readers are expected to be familiar with elementary Itô calculus, basic probability theory, and real and complex analysis.

Advances in the Practice of Public Investment Management

Author : Narayan Bulusu
Publisher : Springer
Page : 406 pages
File Size : 12,87 MB
Release : 2018-07-28
Category : Business & Economics
ISBN : 3319902458

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This book covers the latest advances in the theory and practice of public investment management. It includes the most up-to-date developments in the implementation of public asset management – including multiple contributions on portfolio allocation in varying interest-rate and credit-risk environments. Other highlights include implementation, performance attribution and governance issues surrounding reserves management, portfolio construction techniques appropriate for public investors and an in-depth discussion of the challenges to achieving international diversification.

The Handbook of Global Shadow Banking, Volume II

Author : Luc Nijs
Publisher : Springer Nature
Page : 759 pages
File Size : 46,75 MB
Release : 2020-06-30
Category : Business & Economics
ISBN : 3030348172

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This global handbook provides an up-to-date and comprehensive overview of shadow banking, or market-based finance as it has been recently coined. Engaging in financial intermediary services outside of normal regulatory parameters, the shadow banking sector was arguably a critical factor in causing the 2007-2009 financial crisis. This second volume explores three particular domains of shadow banking. The first domain deals with the macro-economic fundamentals of the respective shadow banking segments: Why do they exist, what problems do they solve and why are some of their embedded risks so persistent? The second domain captures the global dimensions of shadow banking markets, reviewing the particularities and specifics of various shadow banking systems around the world. Volume II concludes with an extensive overview of how the sector has changed since the financial crisis, focusing on regulatory arbitrage, contract imperfection and governance. Closing on unresolved issues and open-ended questions that will no doubt remain prominent in the shadow banking sector for years to come, this handbook is a must-read for professionals and policy-makers within the banking sector, as well as those researching economics and finance.