Dynamics of the Expectation and Risk Premium in the OIS Term Structure

2017 ◽  
Author(s):  
Suresh M. Sundaresan ◽  
Zhenyu Wang ◽  
Wei Yang
Keyword(s):  
Term Structure ◽  
Risk Premium

scholarly journals On the Timing and Pricing of Dividends: Comment

2016 ◽  
Vol 106 (10) ◽  
pp. 3185-3223 ◽  
Author(s):  
Florian Schulz
Keyword(s):  
Term Structure ◽  
Risk Premium ◽  
Risk Premia ◽  
Equity Returns ◽  
Equity Risk Premium ◽  
Short Term ◽  
Equity Risk ◽  
Market Portfolio ◽  
Show Evidence

I present novel empirical evidence on the term structure of the equity risk premium. In contrast to previous research that documented high discount rates for the short-term component of the market portfolio, I show evidence for an unconditionally flat term structure of equity risk premia. The tension with previous literature arises largely as a result of differential treatments of heterogeneous investment taxes, manifested in micro evidence on abnormal equity returns on ex-dividend days, and liquidity. The results not only help resolve an important recent “puzzle” but provide further important insights on the role of investment taxes in asset pricing. (JEL G11, G12, G35)

Nonlinearities in the Relation Between the Equity Risk Premium and the Term Structure

1997 ◽  
Vol 43 (3) ◽  
pp. 371-385 ◽  
Author(s):  
Jacob Boudoukh ◽  
Matthew Richardson ◽  
Robert F. Whitelaw
Keyword(s):  
Term Structure ◽  
Risk Premium ◽  
Equity Risk Premium ◽  
Equity Risk

HEAT KERNEL MODELS FOR ASSET PRICING

2014 ◽  
Vol 17 (07) ◽  
pp. 1450048 ◽  
Author(s):  
ANDREA MACRINA
Keyword(s):  
Asset Pricing ◽  
Closed Form ◽  
Heat Kernel ◽  
Term Structure ◽  
Risk Premium ◽  
Jump Processes ◽  
Dynamical Equations ◽  
Pricing Kernel ◽  
Kernel Approach ◽  
The Impact

A heat kernel approach is proposed for the development of a novel method for asset pricing over a finite time horizon. We work in an incomplete market setting and assume the existence of a pricing kernel that determines the prices of financial instruments. The pricing kernel is modeled by a weighted heat kernel driven by a multivariate Markov process. The heat kernel is chosen so as to provide enough freedom to ensure that the resulting model can be calibrated to appropriate data, e.g. to the initial term structure of bond prices. A class of models is presented for which the prices of bonds, caplets, and swaptions can be computed in closed form. The dynamical equations for the price processes are derived, and explicit formulae are obtained for the short rate of interest, the risk premium, and for the stochastic volatility of prices. Several of the closed-form models presented are driven by combinations of Markovian jump processes with different probability laws. Such models provide a basis for consistent applications in various market sectors, including equity markets, fixed-income markets, commodity markets, and insurance. The flexible multidimensional and multivariate structure on which the resulting price models are based lends itself well to the modeling of dependence across asset classes. As an illustration, the impact of spiraling debt, a typical feature of a financial crisis, is modeled explicitly, and the contagion effects can be readily observed in the dynamics of the associated asset returns.

scholarly journals Testes da Hipótese de Expectativas na Estrutura a Termo das Taxas de Juros Brasileiras

2003 ◽  
Vol 1 (1) ◽  
pp. 19
Author(s):  
Benjamin Miranda Tabak ◽  
Sandro Canesso de Andrade
Keyword(s):  
Monetary Policy ◽  
Interest Rates ◽  
Term Structure ◽  
Risk Premium ◽  
Rational Expectations ◽  
Yield Curve ◽  
Single Equation ◽  
Expectations Hypothesis ◽  
Macro Modeling ◽  
Daily Data

We test the Expectations Hypothesis (EH) plus Rational Expectations (RE) in the Brazilian term-structure of interest rates, using maturities ranging from 1 month to 12 months, and daily data from 1995 to 2000. We rely on two methodologies based on single-equation regressions. Our results indicate a rejection of the EH plus RE, specially at the longer maturity. This may have important implications for the rational expectations macro-modeling currently being used to evaluate the conduct of monetary policy in Brazil. We also show the risk premium in the yield curve are positively related to the covered interest rate differential and to the volatility of interest rates.

Estimation of Peru’s sovereign yield curve: the role of macroeconomic and latent factors

2019 ◽  
Vol 46 (3) ◽  
pp. 533-563
Author(s):  
Alejandra Olivares Rios ◽  
Gabriel Rodríguez ◽  
Miguel Ataurima Arellano
Keyword(s):  
Term Structure ◽  
Risk Premium ◽  
Yield Curve ◽  
International Markets ◽  
Bond Yields ◽  
Content Type ◽  
Vector Autoregressive ◽  
Term Structure Model ◽  
No Arbitrage ◽  
Unobservable Factors

PurposeFollowing Ang and Piazzesi’s (2003) study, the authors use an affine term structure model to study the relevance of macroeconomic (domestic and foreign) factors for Peru’s sovereign yield curve in the period from November 2005 to December 2015. The paper aims to discuss this issue.Design/methodology/approachRisk premia are modeled as time-varying and depend on both observable and unobservable factors; and the authors estimate a vector autoregressive model considering no-arbitrage assumptions.FindingsThe authors find evidence that macro factors help to improve the fit of the model and explain a substantial amount of variation in bond yields. However, their influence is very sensitive to the specification model. Variance decompositions show that macro factors explain a significant share of the movements at the short and middle segments of the yield curve (up to 50 percent), while unobservable factors are the main drivers for most of the movements at the long end of the yield curve (up to 80 percent). Furthermore, the authors find that international markets are relevant for the determination of the risk premium in the short term. Higher uncertainty in international markets increases bond yields, although this effect vanishes quickly. Finally, the authors find that no-arbitrage restrictions with the incorporation of macro factors improve forecasts.Originality/valueTo the authors’ knowledge this is the first application of this type of models using data from an emerging country such as Peru.

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