This paper addresses about an approach that suggests for stock portfolio optimization using the combination of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Capital Asset Pricing Model (CAPM). Stock portfolio optimization aims to determine which of the stocks to be added to a portfolio based on the investor’s needs, changing economic and market conditions. In order to construct an efficient...

A key result of the Capital Asset Pricing Model (CAPM) is that the market portfolio— the portfolio of all assets in which each asset’s weight is proportional to its total market capitalization—lies on the mean-variance-efficient frontier, the set of portfolios having mean-variance characteristics that cannot be improved upon. Therefore, the CAPM cannot be consistent with efficient frontiers for...

Capital Assets Pricing Model is used as a tool for the estimation of Investments in Capital Markets with the relation of Expected return and Risk on Securities. This study examines the applicability of CAPM on Pakistan Stock Markets and Karachi Stock Exchange being the main capital market of Pakistan is taken for the study. The analysis is done by taking a sample of 10 performing companies of 1...

Survey evidence suggests that many investors form beliefs about future stock market returns by extrapolating past returns. Such beliefs are hard to reconcile with existing models of the aggregate stock market. We study a consumption-based asset pricing model in which some investors form beliefs about future price changes in the stock market by extrapolating past price changes, while other inves...

This article describes the academic debate about the usefulness of the capital asset pricing model (the CAPM) developed by Sharpe and Lintner. First the article describes the data the model is meant to explain—the historical average returns for various types of assets over long time periods. Then the article develops a version of the CAPM and describes how it measures the risk of investing in p...

Students considering a masters in Finance Engineering or Artificial Intelligence are usually required to have an undergraduate background science, technology, engineering, mathematics (STEM). STEM students good capacity and but they may not studied financial theory. To facilitate the classroom teaching of Capital Asset Pricing Model (CAPM) for students, this paper seeks expound on essence theor...

In an asset-pricing model calibrated to match the standard asset pricing empirical properties –in particular, the time-variation in the equity premium – we calculate the welfare (value) implications of sub-optimal capital budgeting decisions. Specifically, we calculate that an investment policy that ignores the timevariation in the equity premium, such as would occur with a cost of capital foll...

This paper focuses on inconsistencies arising from the use of NPV and CAPM for capital budgeting. It shows that (i) CAPM capital budgeting decision-making based on disequilibrium NPV is deductively inferred by the Capital Asset Pricing Model, (ii) the use of the disequilibrium NPV is widespread in finance both as a decision rule and as a valuation tool, (iii) the disequilibrium NPV does not gua...

This article introduces a class of distortion operators, gα (u) = Φ Φ [ ( ) ] − + 1 u α , where Φ is the standard normal cumulative distribution. For any loss (or asset) variable X with a probability distribution SX(x) = 1– FX(x), gα [SX(x)] defines a distorted probability distribution whose mean value yields a risk-adjusted premium (or an asset price). The distortion operator gα can be applied...