Volatility-based weighting is taking us back to what Harry Markowitz told us to do in the first place, inspiring us to create non-market-cap weighted indexes based on defined risk and return assumptions and not empirical anomalies alone
ثبت نشده
چکیده
The principles of Markowitz’s portfolio construction model, which requires explicit risk and expected return assumptions, are widely accepted. In practice, however, the most widely used portfolio construction techniques—market-cap weighting and its main rival, fundamental weighting—make no explicit assumptions about these very same risk and return parameters. The most recent departures from market-cap weighted indexing are a variety of weighting schemes based on market anomalies rather than standard investment theory. These schemes include minimizing the variance of the overall portfolio and maximizing measures of portfolio diversification.
منابع مشابه
Investigation the impact of US Unilateral Withdraw from JCPOA on the Market Return of Export-Oriented Companies listed on Tehran Stock Exchange by Emphasis on herding Behavior (semi-parametric approach)
Today, export-oriented companies are very important. These companies need a lot of investment to expand their activities, which is one of the best ways to finance the stock market and since market return is one of the factors influencing people's decisions to direct their capital to this market return. Therefore, the analysis of factors affecting this market return is importants and hence the m...
متن کاملRobustness in portfolio optimization based on minimax regret approach
Portfolio optimization is one of the most important issues for effective and economic investment. There is plenty of research in the literature addressing this issue. Most of these pieces of research attempt to make the Markowitz’s primary portfolio selection model more realistic or seek to solve the model for obtaining fairly optimum portfolios. An efficient frontier in the ...
متن کاملModeling Stock Return Volatility Using Symmetric and Asymmetric Nonlinear State Space Models: Case of Tehran Stock Market
Volatility is a measure of uncertainty that plays a central role in financial theory, risk management, and pricing authority. Turbulence is the conditional variance of changes in asset prices that is not directly observable and is considered a hidden variable that is indirectly calculated using some approximations. To do this, two general approaches are presented in the literature of financial ...
متن کاملA Copula-based Quantile Model for Crude oil Return-Volatility Dependence Modelling: Case of Iran Heavy Oil
The main purpose of this study is to investigate the relationship between Iran’s heavy crude oil price returns and volatility dependence using the Copula-based quantile model (CQM). CQM is an efficient tool for analyzing nonlinear time series models as it has no need for initial assumptions. We use monthly data from January 1990 to December 2019. We use the Hadrick-Prescott filter to calculate...
متن کاملAnother Method for Defuzzification Based on Regular Weighted Point
A new method for the defuzzification of fuzzy numbers is developed in this paper. It is well-known, defuzzification methods allow us to find aggregative crisp numbers or crisp set for fuzzy numbers. But different fuzzy numbers are often converted into one crisp number. In this case the loss of essential information is possible. It may result in inadequate final conclusions, for example, expert...
متن کامل