The CAPM is alive and well: A review and synthesis
H Levy - European Financial Management, 2010 - Wiley Online Library
Abstract Mean‐Variance (M‐V) analysis and the CAPM are derived in the expected utility
framework. Behavioural Economists and Psychologists (BE&P) advocate that expected utility …
framework. Behavioural Economists and Psychologists (BE&P) advocate that expected utility …
[BOOK][B] The capital asset pricing model in the 21st century: analytical, empirical, and behavioral perspectives
H Levy - 2011 - books.google.com
The Capital Asset Pricing Model (CAPM) and the mean-variance (MV) rule, which are based
on classic expected utility theory, have been heavily criticized theoretically and empirically …
on classic expected utility theory, have been heavily criticized theoretically and empirically …
Sufficient conditions for expected utility to imply drawdown-based performance rankings
F Schuhmacher, M Eling - Journal of Banking & Finance, 2011 - Elsevier
The least restrictive sufficient condition for expected utility to imply Sharpe ratio rankings is
the location and scale (LS) property (see Sinn, 1983; Meyer, 1987). The normal, the extreme …
the location and scale (LS) property (see Sinn, 1983; Meyer, 1987). The normal, the extreme …
Multi-stock portfolio optimization under prospect theory
TA Pirvu, K Schulze - Mathematics and Financial Economics, 2012 - Springer
We study how a behavioral agent allocates her portfolio. We consider a cumulative prospect
theory investor in a single period setting with one riskless bond and multiple risky stocks …
theory investor in a single period setting with one riskless bond and multiple risky stocks …
A sustainable spending rate without simulation
MA Milevsky, C Robinson - Financial Analysts Journal, 2005 - Taylor & Francis
Financial commentators have called for more research on sustainable spending rates for
individuals and endowments holding diversified portfolios. We present a forward-looking …
individuals and endowments holding diversified portfolios. We present a forward-looking …
Markowitz versus Michaud: Portfolio optimization strategies reconsidered
Several attempts have been made to reduce the impact of estimation errors on the optimal
portfolio composition. On the one hand, improved estimators of the necessary moments …
portfolio composition. On the one hand, improved estimators of the necessary moments …
Comonotonic approximations for optimal portfolio selection problems
J Dhaene, S Vanduffel, MJ Goovaerts… - Journal of Risk and …, 2005 - Wiley Online Library
We investigate multiperiod portfolio selection problems in a Black and Scholes type market
where a basket of 1 riskfree and m risky securities are traded continuously. We look for the …
where a basket of 1 riskfree and m risky securities are traded continuously. We look for the …
[HTML][HTML] A bibliometric analysis of machine learning econometrics in asset pricing
HO Zapata, S Mukhopadhyay - Journal of Risk and Financial …, 2022 - mdpi.com
Machine learning (ML) is a novel method that has applications in asset pricing and that fits
well within the problem of measurement in economics. Unlike econometrics, ML models are …
well within the problem of measurement in economics. Unlike econometrics, ML models are …
[HTML][HTML] The effect of the underlying distribution in Hurst exponent estimation
MÁ Sánchez, JE Trinidad, J García, M Fernández - PLoS One, 2015 - journals.plos.org
In this paper, a heavy-tailed distribution approach is considered in order to explore the
behavior of actual financial time series. We show that this kind of distribution allows to …
behavior of actual financial time series. We show that this kind of distribution allows to …
Comparing approximations for risk measures of sums of nonindependent lognormal random variables
S Vanduffel, T Hoedemakers… - North American Actuarial …, 2005 - Taylor & Francis
In this paper we consider different approximations for computing the distribution function or
risk measures related to a discrete sum of nonindependent lognormal random variables …
risk measures related to a discrete sum of nonindependent lognormal random variables …