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Bonds. --- Investment analysis --- Portfolio management --- Bond market --- Bonds --- 332.6323 --- Bond markets --- Market, Bond --- Capital market --- Investment management --- Investments --- Securities --- Analysis of investments --- Analysis of securities --- Security analysis --- Bond issues --- Debentures --- Negotiable instruments --- Debts, Public --- Stocks

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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.

Bonds --- Bond issues --- Debentures --- Negotiable instruments --- Securities --- Debts, Public --- Stocks --- Mathematical models. --- Mathematical models --- E-books --- Finanzas. --- Bonos --- Especulación --- Modelos matemáticos. --- Bonds - Mathematical models --- AFNS. --- Bayesian analysis. --- DNS. --- NelsonГiegel curve fitting. --- RudebuschЗu model. --- affine arbitrage-free models. --- arbitrage-free NelsonГiegel models. --- arbitrage-free dynamic NelsonГiegel. --- arbitrage-free models. --- credit spreads. --- dynamic NelsonГiegel model. --- dynamic NelsonГiegel modeling. --- dynamic yield curve forecasting. --- dynamic yield curve modeling. --- factor loadings. --- forecasting. --- macro-finance yield curve modeling. --- multicountry modeling. --- risk management. --- stateгpace structure. --- stochastic volatility. --- yield curve fitting. --- yield curve models. --- yield curve.

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We analyze the relationship between global and country-specific factors and emerging market debt spreads from three different angles. First, we aim to disentangle the effect of global and country-specific developments, and find that while both country-specific and global developments are important in the long-run, global factors are main determinants of spreads in the short-run. Second, we investigate whether and how the strength of fundamentals is related to the sensitivity of spreads to global factors. Countries with stronger fundamentals tend to have lower sensitivity to changes in global risk aversion. Third, we decompose changes in spreads and analyze the behavior of explained and unexplained components over different periods. To do so, we break down fitted changes in spreads into the contribution of country-specific and global factors, as well as decompose changes in the residual into the correction of initial misalignment and an increase/decrease in misalignment. We find that changes in spreads follow periods of tightening/widening, which are well-explained by the model; and the dynamics of the components of the unexplained residual follow all the major developments that impact market sentiment. In particular, we find that in the periods of severe marketstress, such as during the intensive phase of the Eurozone debt crisis, global factors tend to drive changes in the spreads and the misalignment tends to increase in magnitude and its relative share in actual spreads.

Bonds. --- Markets. --- Public markets --- Commerce --- Fairs --- Market towns --- Bond issues --- Debentures --- Negotiable instruments --- Securities --- Debts, Public --- Stocks --- Banks and Banking --- Finance: General --- Financial Risk Management --- Interest Rates: Determination, Term Structure, and Effects --- International Financial Markets --- General Financial Markets: General (includes Measurement and Data) --- Financial Crises --- Portfolio Choice --- Investment Decisions --- Finance --- Economic & financial crises & disasters --- Emerging and frontier financial markets --- Securities markets --- Financial crises --- International liquidity --- Yield curve --- Financial markets --- Asset and liability management --- Financial services --- Financial services industry --- Capital market --- International finance --- Interest rates --- United States

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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.

Money market. Capital market --- Bonds --- Mathematical models --- AA / International- internationaal --- 305.7 --- 333.831.0 --- 333.832.0 --- -332.632042 --- Bond issues --- Debentures --- Negotiable instruments --- Securities --- Debts, Public --- Stocks --- Econometrie van het gedrag van de financiële tussenpersonen. Monetaire econometrische modellen. Monetaire agregaten. vraag voor geld. Krediet. Rente. --- Evolutie van de rentetarieven naar de duur van de bedragen. Verband tussen de diverse rentetarieven: algemeenheden. --- Evolutie van de rente naar het voorwerp van de kapitalen: algemeenheden. --- 332.632042 --- Econometrie van het gedrag van de financiële tussenpersonen. Monetaire econometrische modellen. Monetaire agregaten. vraag voor geld. Krediet. Rente --- Evolutie van de rentetarieven naar de duur van de bedragen. Verband tussen de diverse rentetarieven: algemeenheden --- Evolutie van de rente naar het voorwerp van de kapitalen: algemeenheden --- Bonds - Mathematical models --- Mathematical models. --- AFNS. --- Bayesian analysis. --- DNS. --- NelsonГiegel curve fitting. --- RudebuschЗu model. --- affine arbitrage-free models. --- arbitrage-free NelsonГiegel models. --- arbitrage-free dynamic NelsonГiegel. --- arbitrage-free models. --- credit spreads. --- dynamic NelsonГiegel model. --- dynamic NelsonГiegel modeling. --- dynamic yield curve forecasting. --- dynamic yield curve modeling. --- factor loadings. --- forecasting. --- macro-finance yield curve modeling. --- multicountry modeling. --- risk management. --- stateгpace structure. --- stochastic volatility. --- yield curve fitting. --- yield curve models. --- yield curve.