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Modeling and Forecasting the Yield Curve Under Model Uncertainty

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Release : 2009
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Book Synopsis Modeling and Forecasting the Yield Curve Under Model Uncertainty by : Francesco Donati

Download or read book Modeling and Forecasting the Yield Curve Under Model Uncertainty written by Francesco Donati. This book was released on 2009. Available in PDF, EPUB and Kindle. Book excerpt: We propose a methodology that permits to investigate and forecast the behavior of a variable and its determinants in real time, both in the time and in the frequency domain, starting from a model designed in the time domain, which makes the presentation and evaluation of the results straightforward. This paper applies the methodology to the yield curve. We extract all the shocks affecting the forward rates and the yields and we divide them into three disjoint classes: 1) long-run shocks giving rise to possibly permanent effects, 2) medium-run forces and 3) short-run forces giving rise to transitory effects. These forces drive the low-, medium- and high-frequency component, respectively, composing the time series of the variables used in the model. We explicitly model and estimate such cause-and-effect relationships. The analysis of the shocks and the frequency components provides a timely and comprehensive overview of the nature of the movements in the yields. Furthermore, using the forecast of the frequency components to forecast the yields enhances forecast accuracy, also at long prediction horizons. To perform the frequency decompositions, to identify the forces governing the evolution of the model variables, and to perform the out-of-sample forecasts we use a dynamic filter whose embedded feedback control corrects for model uncertainty.

Modelling and Forecasting the Yield Curve Under Model Uncertainty

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Author :
Release : 2008
Genre : Economic forecasting
Kind : eBook
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Book Synopsis Modelling and Forecasting the Yield Curve Under Model Uncertainty by : Paola Donati

Download or read book Modelling and Forecasting the Yield Curve Under Model Uncertainty written by Paola Donati. This book was released on 2008. Available in PDF, EPUB and Kindle. Book excerpt:

Yield Curve Modeling and Forecasting

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Release : 2013-01-15
Genre : Business & Economics
Kind : eBook
Book Rating : 802/5 ( reviews)

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Book Synopsis Yield Curve Modeling and Forecasting by : Francis X. Diebold

Download or read book Yield Curve Modeling and Forecasting written by Francis X. Diebold. This book was released on 2013-01-15. Available in PDF, EPUB and Kindle. Book excerpt: Understanding the dynamic evolution of the yield curve is critical to many financial tasks, including pricing financial assets and their derivatives, managing financial risk, allocating portfolios, structuring fiscal debt, conducting monetary policy, and valuing capital goods. Unfortunately, most yield curve models tend to be theoretically rigorous but empirically disappointing, or empirically successful but theoretically lacking. In this book, Francis Diebold and Glenn Rudebusch propose two extensions of the classic yield curve model of Nelson and Siegel that are both theoretically rigorous and empirically successful. The first extension is the dynamic Nelson-Siegel model (DNS), while the second takes this dynamic version and makes it arbitrage-free (AFNS). Diebold and Rudebusch show how these two models are just slightly different implementations of a single unified approach to dynamic yield curve modeling and forecasting. They emphasize both descriptive and efficient-markets aspects, they pay special attention to the links between the yield curve and macroeconomic fundamentals, and they show why DNS and AFNS are likely to remain of lasting appeal even as alternative arbitrage-free models are developed. Based on the Econometric and Tinbergen Institutes Lectures, Yield Curve Modeling and Forecasting contains essential tools with enhanced utility for academics, central banks, governments, and industry.

Modelling and forecasing the yield curve under model uncertainty

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Author :
Release : 2008
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Modelling and forecasing the yield curve under model uncertainty by : Paola Donati

Download or read book Modelling and forecasing the yield curve under model uncertainty written by Paola Donati. This book was released on 2008. Available in PDF, EPUB and Kindle. Book excerpt:

Forecasting Financial Time Series Using Model Averaging

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Author :
Release : 2007
Genre :
Kind : eBook
Book Rating : 145/5 ( reviews)

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Book Synopsis Forecasting Financial Time Series Using Model Averaging by : Francesco Ravazzolo

Download or read book Forecasting Financial Time Series Using Model Averaging written by Francesco Ravazzolo. This book was released on 2007. Available in PDF, EPUB and Kindle. Book excerpt: Believing in a single model may be dangerous, and addressing model uncertainty by averaging different models in making forecasts may be very beneficial. In this thesis we focus on forecasting financial time series using model averaging schemes as a way to produce optimal forecasts. We derive and discuss in simulation exercises and empirical applications model averaging techniques that can reproduce stylized facts of financial time series, such as low predictability and time-varying patterns. We emphasize that model averaging is not a "magic" methodology which solves a priori problems of poorly forecasting. Averaging techniques have an essential requirement: individual models have to fit data. In the first section we provide a general outline of the thesis and its contributions to previ ous research. In Chapter 2 we focus on the use of time varying model weight combinations. In Chapter 3, we extend the analysis in the previous chapter to a new Bayesian averaging scheme that models structural instability carefully. In Chapter 4 we focus on forecasting the term structure of U.S. interest rates. In Chapter 5 we attempt to shed more light on forecasting performance of stochastic day-ahead price models. We examine six stochastic price models to forecast day-ahead prices of the two most active power exchanges in the world: the Nordic Power Exchange and the Amsterdam Power Exchange. Three of these forecasting models include weather forecasts. To sum up, the research finds an increase of forecasting power of financial time series when parameter uncertainty, model uncertainty and optimal decision making are included.

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