scholarly journals Framework for Assessing the Economic Efficiencies of Long-Run Network Pricing Models

2009 ◽  
Vol 24 (4) ◽  
pp. 1641-1648 ◽  
Author(s):  
Furong Li ◽  
David Tolley ◽  
Narayana Prasad Padhy ◽  
Ji Wang
Keyword(s):  
Pricing Models ◽  
Network Pricing ◽  
Long Run ◽  
Economic Efficiencies

scholarly journals Volatility of Regional Sharia Compliance Returns and US News Impact

2018 ◽  
Vol III (I) ◽  
pp. 294-307
Author(s):  
Kashif Hamid ◽  
Rana Shahid Imdad Akash ◽  
Muhammad Mudasar Ghafoor
Keyword(s):  
Bad News ◽  
Portfolio Diversification ◽  
Good News ◽  
Stock Index ◽  
Leverage Effect ◽  
Pricing Models ◽  
Stock Indices ◽  
Long Run ◽  
Daily Data ◽  
The Impact

Investigation of the impact of US News proxy on the returns of regional sharia compliance indices and volatility is the primary aim of this study. The daily data of Dow Jones Islamic index (DJII), Jakarata Islamic Index (JKII), Karachi Meezan Islamic Index (KMI) and Standard & Poor 500 stock index has been taken for the period of July 01, 2013 to June 30, 2018. GARCH (1,1) is extended with US News proxy for KMI, DJII and JKII. US news proxy identifies that leverage effect reveal the long run persistency in volatility. EGARCH (1,1) model indicates that higher volatility has bee also increased by bad news than good news due to leverage effect in sharia compliance returns. This study leads to extend various assets pricing models by modeling the volatility and will also inform the international and regional investors about the new trends of investment in Islamic stock indices and portfolio diversification.

scholarly journals From Which Consumption-Based Asset Pricing Models Can Investors Profit? Evidence from Model-Based Priors

2020 ◽  
Author(s):  
Mathias S Kruttli
Keyword(s):  
Asset Pricing ◽  
Parameter Estimates ◽  
Pricing Models ◽  
Predictive Regression ◽  
Model Based ◽  
Asset Pricing Models ◽  
Long Run ◽  
Regression Parameters ◽  
Economic Constraints ◽  
Long Run Risk

Abstract This article analyzes whether consumption-based asset pricing models improve the excess returns forecasts of a hypothetical investor with access to these models from 1947 onwards. The investor imposes economic constraints derived from asset pricing models as model-based priors on predictive regression parameters through a Bayesian framework. Three models are considered: habit formation, long-run risk, and prospect theory. The model-based priors generally perform better than priors that shrink the parameter estimates to the historical average model and priors that impose a positive equity premium. This analysis helps to assess the value of consumption-based asset pricing models to investors.

Term Structure of Risk in Expected Returns

2021 ◽  
Author(s):  
Irina Zviadadze
Keyword(s):  
Asset Pricing ◽  
Term Structure ◽  
Expected Returns ◽  
Pricing Models ◽  
Structural Shocks ◽  
Risk Return ◽  
Asset Pricing Models ◽  
Long Run ◽  
Multiple Shocks ◽  
Long Run Risk

Abstract This paper develops a methodology to test structural asset pricing models based on their implications for the multiperiod risk-return trade-off. A new measure, the term structure of risk, captures the sensitivities of multiperiod expected returns to structural shocks. The level and slope of the term structure of risk can indicate misspecification in equilibrium models. I evaluate the performance of asset pricing models with long-run risk, consumption disasters, and variance shocks. I find that only a model with multiple shocks in the variance of consumption growth is consistent with the propagation of and compensation for risk in the aggregate stock market.

scholarly journals Higher Order Effects in Asset Pricing Models with Long‐Run Risks

2018 ◽  
Vol 73 (3) ◽  
pp. 1061-1111 ◽  
Author(s):  
WALTER POHL ◽  
KARL SCHMEDDERS ◽  
OLE WILMS
Keyword(s):  
Asset Pricing ◽  
Higher Order ◽  
Order Effects ◽  
Pricing Models ◽  
Asset Pricing Models ◽  
Long Run ◽  
Long Run Risks ◽  
Higher Order Effects

scholarly journals NONPARAMETRIC IDENTIFICATION OF POSITIVE EIGENFUNCTIONS

2014 ◽  
Vol 31 (6) ◽  
pp. 1310-1330 ◽  
Author(s):  
Timothy M. Christensen
Keyword(s):  
Asset Pricing ◽  
Habit Formation ◽  
Linear Operators ◽  
Nondegeneracy Condition ◽  
Pricing Models ◽  
Nonparametric Models ◽  
Asset Pricing Models ◽  
Long Run ◽  
Dynamic Asset Pricing ◽  
Long Run Risk

Important features of certain economic models may be revealed by studying positive eigenfunctions of appropriately chosen linear operators. Examples include long-run risk–return relationships in dynamic asset pricing models and components of marginal utility in external habit formation models. This paper provides identification conditions for positive eigenfunctions in nonparametric models. Identification is achieved if the operator satisfies two mild positivity conditions and a power compactness condition. Both existence and identification are achieved under a further nondegeneracy condition. The general results are applied to obtain new identification conditions for external habit formation models and for positive eigenfunctions of pricing operators in dynamic asset pricing models.

scholarly journals The Term Structures of Expected Loss and Gain Uncertainty*

2020 ◽  
Vol 18 (3) ◽  
pp. 473-501
Author(s):  
Bruno Feunou ◽  
Ricardo Lopez Aliouchkin ◽  
Roméo Tédongap ◽  
Lai Xu
Keyword(s):  
Jump Diffusion ◽  
Reduced Form ◽  
Stochastic Discount Factor ◽  
Expected Loss ◽  
Pricing Models ◽  
Latent Factors ◽  
Jump Risk ◽  
Term Structures ◽  
Long Run ◽  
Negative Jump

Abstract We document that the term structures of risk-neutral expected loss and gain uncertainty on S&P 500 returns are upward sloping on average. These shapes mainly reflect the higher premium required by investors to hedge downside risk and the belief that potential gains will increase in the long run. The term structures exhibit substantial time-series variation with large negative slopes during crisis periods. Through the lens of a flexible Jump-Diffusion framework, we evaluate the ability of existing reduced-form option pricing models to replicate these term structures. We stress that three ingredients are particularly important: (i) the inclusion of jumps; (ii) disentangling the price of negative jump risk from its positive analog in the stochastic discount factor specification; and (iii) specifying three latent factors.

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