capital asset pricing, as one of the basic theories in finance and investment area, develop a model for estimation of expected rate of return and equity cost of capital. this model has many applications in the field of finance. one of anomalies in the capital asset pricing model is the value premium that its proponents believe this risk premium is compensation for a risk not mentioned in origin...

The design of a credit risk measurement model in the monetary and banking system will play an important role in increasing the profitability of banking resources. This article attempts to use two models of Logit and Z Altman to determine and predict the credit risk of facilities provided to legal entities at a private bank in Iran. The variables studied in this research include qualitative vari...

In Brennan and Lo (2010), a mean-variance efficient frontier is defined as “impossible” if every portfolio on that frontier has negative weights, which is incompatible with the Capital Asset Pricing Model (CAPM) requirement that the market portfolio is mean-variance efficient. We prove that as the number of assets n grows, the probability that a randomly chosen frontier is impossible tends to o...

In the Data Streaming world, screening for outliers is an often overlooked aspect of the data preparation phase, which is needed to rationalize inferences drawn from the analysis of data. In this paper, we examine the effects of three outlier screens: A Trimming Window, The Box-Plot Screen and the Mahalanobis Screen on the market performance profile of firms traded on the NASDAQ and NYSE. From ...

Information, Diversification, and Cost of Capital We study the pricing implications of information in a noisy rational expectations model with a factor structure for multi-asset payoffs. There are two classes of price taking investors in our model; informed investors who receive private signals on asset payoffs, and uninformed investors who draw imperfect inferences about those signals from pri...

So far the main body of the asset pricing literature has computed liquidity risk premia for either markets or single assets. The vast majority of these studies have been focused on fairly liquid assets, but recently a greater attempt to price such an important component of the asset pricing factors in markets with high illiquidity (especially in real estate) has also started to take place. The ...

Brownian motion and normal distribution have been widely used in the Black–Scholes option-pricing framework to model the return of assets. However, two puzzles emerge from many empirical investigations: the leptokurtic feature that the return distribution of assets may have a higher peak and two (asymmetric) heavier tails than those of the normal distribution, and an empirical phenomenon called...

The intertemporal capital asset pricing model of Merton (1973) is examined using the dynamic conditional correlation (DCC) model of Engle (2002). The mean-reverting DCC model is used to estimate a stock’s (portfolio’s) conditional covariance with the market and test whether the conditional covariance predicts time-variation in the stock’s (portfolio’s) expected return. The risk-aversion coeffic...

INTRODUCTION Capital assets are used by the company in the physical process of producing goods and services and are ordinarily used for a number of years. The amounts involved are so large that businesses need to plan and evaluate expenditures for capital assets with care. The plan for expenditures is called a capital budget. The process of determining both how much to spend on a capital assets...

How to design bank capital requirements when banks can misreport the value of their assets? We show that the answer depends critically on the existence of secondary markets for bank assets. Without secondary markets, capital requirements based on banks’reporting are more socially desirable than a fixed capital requirement if savings on costly bank capital are suffi ciently high. Yet with second...