scholarly journals Inference on Risk Premia in Continuous-Time Asset Pricing Models

2020 ◽  
Author(s):  
Yacine Aït-Sahalia ◽  
Jean Jacod ◽  
Dacheng Xiu
Keyword(s):  
Asset Pricing ◽  
Continuous Time ◽  
Risk Premia ◽  
Pricing Models ◽  
Asset Pricing Models

Using Stocks or Portfolios in Tests of Factor Models

2019 ◽  
Vol 55 (3) ◽  
pp. 709-750 ◽  
Author(s):  
Andrew Ang ◽  
Jun Liu ◽  
Krista Schwarz
Keyword(s):  
Asset Pricing ◽  
Risk Premia ◽  
Factor Models ◽  
Idiosyncratic Volatility ◽  
Standard Errors ◽  
Coefficient Estimates ◽  
Pricing Models ◽  
Cross Sectional ◽  
Factor Loadings ◽  
Asset Pricing Models

We examine the efficiency of using individual stocks or portfolios as base assets to test asset pricing models using cross-sectional data. The literature has argued that creating portfolios reduces idiosyncratic volatility and allows more precise estimates of factor loadings, and consequently risk premia. We show analytically and empirically that smaller standard errors of portfolio beta estimates do not lead to smaller standard errors of cross-sectional coefficient estimates. Factor risk premia standard errors are determined by the cross-sectional distributions of factor loadings and residual risk. Portfolios destroy information by shrinking the dispersion of betas, leading to larger standard errors.

scholarly journals Asset Pricing Models and Insurance Ratemaking

1990 ◽  
Vol 20 (2) ◽  
pp. 125-166 ◽  
Author(s):  
J. David Cummins
Keyword(s):  
Asset Pricing ◽  
Option Pricing ◽  
Life Insurance ◽  
Continuous Time ◽  
Financial Management ◽  
Arbitrage Pricing Theory ◽  
Pricing Models ◽  
Discounted Cash Flow ◽  
Asset Pricing Models ◽  
Pricing Theory

AbstractThis paper provides an introduction to asset pricing theory and its applications in non-life insurance. The first part of the paper presents a basic review of asset pricing models, including discrete and continuous time capital asset pricing models (the CAPM and ICAPM), arbitrage pricing theory (APT), and option pricing theory (OPT). The second part discusses applications in non-life insurance. Among the insurance models reviewed are the insurance CAPM, discrete time discounted cash flow models, option pricing models, and more general continuous time models. The paper concludes that the integration of actuarial and financial theory can provide major advances in insurance pricing and financial management.

scholarly journals A Synthesis of Two Factor Estimation Methods

2015 ◽  
Vol 50 (4) ◽  
pp. 825-842 ◽  
Author(s):  
Gregory Connor ◽  
Robert A. Korajczyk ◽  
Robert T. Uhlaner
Keyword(s):  
Fixed Point ◽  
Asset Pricing ◽  
Risk Premia ◽  
Estimation Methods ◽  
Errors In Variables ◽  
Pricing Models ◽  
Cross Sectional ◽  
Asset Pricing Models ◽  
The Common ◽  
Factor Estimation

AbstractTwo-pass cross-sectional regression (TPCSR) is frequently used in estimating factor risk premia. Recent papers argue that the common practice of grouping assets into portfolios to reduce the errors-in-variables (EIV) problem leads to loss of efficiency and masks potential deviations from asset pricing models. One solution that allows the use of individual assets while overcoming the EIV problem is iterated TPCSR (ITPCSR). ITPCSR converges to a fixed point regardless of the initial factors chosen. ITPCSR is intimately linked to the asymptotic principal components (APC) method of estimating factors since the ITPCSR estimates are the APC estimates, up to a rotation.

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