A comparative analysis of security pricing using factor, macrovariable and arbitrage pricing models

1998 ◽  
Vol 22 (2-3) ◽  
pp. 21-41 ◽  
Author(s):  
Suat Teker ◽  
Oscar Varela
1995 ◽  
Vol 68 (3) ◽  
pp. 309 ◽  
Author(s):  
Wayne E. Ferson ◽  
Robert A. Korajczyk

2019 ◽  
Vol 39 ◽  
pp. 127-140
Author(s):  
Tahmid Tamrin Suki ◽  
ABM Shahadat Hossain

This paper compares the performance of two different option pricing models, namely, the Black-Scholes-Merton (B-S-M) model and the Heston Stochastic Volatility (H-S-V) model. It is known that the most popular B-S-M Model makes the assumption that volatility of an asset is constant while the H-S-V model considers it to be random. We examine the behavior of both B-S-M and H-S-V formulae with the change of different affecting factors by graphical representations and hence assimilate them. We also compare the behavior of some of the Greeks computed by both of these models with changing stock prices and hence constitute 3D plots of these Greeks. All the numerical computations and graphical illustrations are generated by a powerful Computer Algebra System (CAS), MATLAB. GANIT J. Bangladesh Math. Soc.Vol. 39 (2019) 127-140


1985 ◽  
Vol 20 (3) ◽  
pp. 315 ◽  
Author(s):  
Keith C. Brown ◽  
Larry J. Lockwood ◽  
Scott L. Lummer

Author(s):  
Promise Mvelase ◽  
George Sibiya ◽  
Nomusa Dlodlo ◽  
John Oladosu ◽  
Matthew Adigun

2009 ◽  
Vol 16 (4) ◽  
pp. 9-37 ◽  
Author(s):  
X. Burtschell ◽  
Jonathan Gregory ◽  
Jean-Paul Laurent

Econometrica ◽  
1983 ◽  
Vol 51 (5) ◽  
pp. 1305 ◽  
Author(s):  
Gary Chamberlain

2014 ◽  
Vol 7 (2) ◽  
pp. 115-120
Author(s):  
James T. Chong ◽  
William P. Jennings ◽  
G. Michael Phillips

This paper illustrates how a third statistic from asset pricing models, the R-squared statistic, may have information that can help in portfolio construction. Using a traditional CAPM model in comparison to an 18-factor Arbitrage Pricing Style Model, a portfolio separation test is conducted. Portfolio returns and risk metrics are compared using data from the Dow Jones 30 stocks over the period January 2007 through October 2013. Various teaching points are discussed and illustrated.


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