scholarly journals Asset Pricing Models and Stock Selection Ability of the Indian Mutual Fund Managers: An Empirical Study of Open-ended Growth Equity Schemes

2019 ◽  
Vol 3 (3) ◽  
pp. 49-62
Author(s):  
Kamal Gupta
Keyword(s):  
Asset Pricing ◽  
Mutual Fund ◽  
Equity Capital ◽  
Financial Resources ◽  
Stock Selection ◽  
Pricing Models ◽  
Mutual Fund Managers ◽  
Fund Managers ◽  
Asset Pricing Models ◽  
The Impact

The paper is devoted to the study of the analysis and forecasting of the possibility of joint investment Fund managers to choose securities for further investment. The methodological tools of the work are presented by models Jensen, Fama & amp; French and Carhart (which allow to assess the ability to select securities by managers of mutual funds). Empirical estimates of the analysis on three models showed that Indian mutual Fund managers have the ability to choose stocks. The author states that the analysis based on the Jensen model characterizes higher potential opportunities for the selection of securities by the managers of India’s joint-stock funds compared to the other two models used in the study. The results of the study can be useful for investors in making investment decisions, in particular in the process of placing their own financial resources in joint investment funds. The paper postulates that investors will be able to choose joint investment schemes in favor of funds, which provide the opportunity to choose securities for investment for more than ten years. The author notes that the key effect of the introduction of such a practice of interaction between investors and funds will be the growth of investor confidence, which will contribute to the accumulation of additional volumes of investments in the joint investment sector. This study is limited only to the schemes of investing their own financial resources, but in the future can be further expanded to the practice of using a wide range of schemes, since the possibility of choosing shares is associated with many financial processes and indicators. Since the study of asset pricing models is a continuous process, the author proposed to study the processes of joint investment in pension funds in the context of assessing the impact of financial indicators such as liquidity, return on investment, profitability. Keywords: investors, funds of collective investment, the ability to stock selection, patterns of growth equity capital.

Examining Asset Pricing Anomalies: Evidence from Europe

2021 ◽  
pp. 227853372110257
Author(s):  
Asheesh Pandey ◽  
Rajni Joshi
Keyword(s):  
Asset Pricing ◽  
Pricing Model ◽  
Pricing Models ◽  
Investment Rate ◽  
Asset Pricing Model ◽  
Fund Managers ◽  
Asset Pricing Models ◽  
Asset Pricing Anomalies ◽  
Pricing Anomalies ◽  
Portfolio Managers

We examine five important asset pricing anomalies, namely, size, value, momentum, profitability, and investment rate to evaluate their efficacy in major West European economies, that is, France, Germany, Italy, and Spain. We employ four prominent asset pricing models, namely Capital Asset Pricing Model (CAPM), Fama–French three-factor (FF3) model, Carhart model and Fama–French five-factor (FF5) model to evaluate whether portfolio managers can create trading strategies to generate risk-adjusted extra normal returns for their investors. We also examine the prominent anomalies which pass the test of asset pricing in our sample countries and evaluate the best performing asset pricing model in explaining returns in each of these countries. We find that in spite of being matured markets, these countries provide portfolio managers with opportunities to exploit these strategies to generate extra normal returns for their investors. Momentum anomaly for Germany and profitability anomaly for Italy can be exploited by fund managers for generating risk-adjusted returns. For France, except for net investment rate anomaly, all the other anomalies remained unexplained by asset pricing models. We also find CAPM to be the better model in explaining returns of Italy and Spain. While FF3 factor and FF5 factor models explain returns in Germany, our sample asset pricing models failed to work for France. Our study has implications for portfolio managers, academia, and policymakers.

Nonrevealing Equilibria and Consumption-Based Asset Pricing Models

2006 ◽  
Vol 6 (1) ◽  
Author(s):  
James E Gunderson
Keyword(s):  
Asset Pricing ◽  
Private Information ◽  
Rational Expectations ◽  
Investment Risk ◽  
Conditional Distributions ◽  
Pricing Models ◽  
Asset Pricing Models ◽  
Empirical Tests ◽  
The Impact ◽  
Investment Choices

In the rational expectations equilibrium of this paper, agents have private information and differing information partitions and therefore assign differing conditional distributions to asset payoffs and other economic variables relevant to their investment choices. Standard asset pricing models typically do not recognize the impact of these differing information partitions, and empirical tests based on these models thus measure asset riskiness in a way that may not be relevant to any of the agents' decisions. I show how this can lead to distorted estimates of investment risk and how it can make the equity premium appear difficult to explain.

Evaluating alternative performance benchmarks for Indian mutual fund industry

2017 ◽  
Vol 14 (2) ◽  
pp. 222-250 ◽  
Author(s):  
Sanjay Sehgal ◽  
Sonal Babbar
Keyword(s):  
Asset Pricing ◽  
Mutual Fund ◽  
Factor Model ◽  
Five Factor Model ◽  
Content Type ◽  
Asset Pricing Model ◽  
Fund Managers ◽  
Asset Pricing Models ◽  
Performance Benchmarks ◽  
Fama And French

Purpose The purpose of this paper is to perform a relative assessment of performance benchmarks based on alternative asset pricing models to evaluate performance of mutual funds and suggest the best approach in Indian context. Design/methodology/approach Sample of 237 open-ended Indian equity (growth) schemes from April 2003 to March 2013 is used. Both unconditional and conditional versions of eight performance models are employed, namely, Jensen (1968) measure, three-moment asset pricing model, four-moment asset pricing model, Fama and French (1993) three-factor model, Carhart (1997) four-factor model, Elton et al. (1999) five-index model, Fama and French (2015) five-factor model and firm quality five-factor model. Findings Conditional version of Carhart (1997) model is found to be the most appropriate performance benchmark in the Indian context. Success of conditional models over unconditional models highlights that fund managers dynamically manage their portfolios. Practical implications A significant α generated over and above the return estimated using Carhart’s (1997) model reflects true stock-picking skills of fund managers and it is, therefore, worth paying an active management fee. Stock exchanges and credit rating agencies in India should construct indices incorporating size, value and momentum factors to be used for purpose of benchmarking. Originality/value The study adds new evidence as to applicability of established asset pricing models as performance benchmarks in emerging market India. It examines role of higher order moments in explaining mutual fund returns which is an under researched area.

scholarly journals Identifying outliers in asset pricing data with a new weighted forward search estimator

2020 ◽  
Vol 31 (84) ◽  
pp. 458-472
Author(s):  
Alexandre Aronne ◽  
Luigi Grossi ◽  
Aureliano Angel Bressan
Keyword(s):  
Asset Pricing ◽  
Factor Model ◽  
The United States ◽  
Estimation Methods ◽  
Annual Data ◽  
Forward Search ◽  
Pricing Models ◽  
Asset Pricing Models ◽  
The Impact ◽  
Three Factor

ABSTRACT The purpose of this work is to present the Weighted Forward Search (FSW) method for the detection of outliers in asset pricing data. This new estimator, which is based on an algorithm that downweights the most anomalous observations of the dataset, is tested using both simulated and empirical asset pricing data. The impact of outliers on the estimation of asset pricing models is assessed under different scenarios, and the results are evaluated with associated statistical tests based on this new approach. Our proposal generates an alternative procedure for robust estimation of portfolio betas, allowing for the comparison between concurrent asset pricing models. The algorithm, which is both efficient and robust to outliers, is used to provide robust estimates of the models’ parameters in a comparison with traditional econometric estimation methods usually used in the literature. In particular, the precision of the alphas is highly increased when the Forward Search (FS) method is used. We use Monte Carlo simulations, and also the well-known dataset of equity factor returns provided by Prof. Kenneth French, consisting of the 25 Fama-French portfolios on the United States of America equity market using single and three-factor models, on monthly and annual basis. Our results indicate that the marginal rejection of the Fama-French three-factor model is influenced by the presence of outliers in the portfolios, when using monthly returns. In annual data, the use of robust methods increases the rejection level of null alphas in the Capital Asset Pricing Model (CAPM) and the Fama-French three-factor model, with more efficient estimates in the absence of outliers and consistent alphas when outliers are present.

scholarly journals An Analysis of Mutual Fund Managers’ Timing Abilities - Evidence From Chinese Equity Funds

2020 ◽  
Vol 11 (4) ◽  
pp. 214
Author(s):  
Jun-Hao Li ◽  
Chun-Fan You
Keyword(s):  
Mutual Fund ◽  
Stock Selection ◽  
Mutual Fund Managers ◽  
Fund Managers ◽  
Timing Ability ◽  
Daily Frequency ◽  
Equity Funds ◽  
Volatility Timing ◽  
Investment Styles ◽  
Timing Models

This paper examines Chinese mutual fund managers’ market, volatility, and liquidity abilities. Using a daily frequency sample of Chinese open-end equity funds from 2015 to 2019, we find evidence that mutual fund managers can time the market. Among the funds with different investment styles, the active funds have better market and liquidity timing ability, whereas the steady funds have better volatility timing ability. In different investment periods, there are more funds with timing ability in the fall period than in the rise period. We find the same results in the market (T-M), volatility, and liquidity timing models. It is especially for the active funds, nearly half of which have liquidity timing ability in the fall period. Among the funds with stock selection ability, the funds with market timing ability can outperform than the funds with other timing ability.

Short- and Long-Horizon Behavioral Anomalies and Institutional Investors’ Nudge Behavior: Based on the Data of Listed Chinese Tobacco Companies

2021 ◽  
Vol 7 (5) ◽  
pp. 1904-1922
Author(s):  
Liu Yue ◽  
Liu Tianming
Keyword(s):  
Asset Pricing ◽  
Institutional Investors ◽  
Regulatory Agencies ◽  
Pricing Models ◽  
Healthy Development ◽  
Limits To Arbitrage ◽  
Asset Pricing Models ◽  
Pricing Factors ◽  
The Impact

We use the data of listed tobacco companies in China to study the existence of short- and long-horizon behavioral anomalies and the impact of institutional investors’ behavior on them. We found that the existing asset pricing models cannot explain the short- and long-horizon behavioral anomalies based on tobacco enterprise data. Conversely, the short- and long-horizon behavioral anomalies can explain the exciting asset pricing factors. Compared with existing asset pricing models, behavioral anomalies have a stronger ability to explain anomalies. Behavioral anomalies could pass the cross-sectionally test and strengthened over time. The above results indicate that behavioral anomalies exist in China tobacco enterprisest significantly and are time-varying. We found that the limits to arbitrage and cognitive bias lead to the existence of behavioral anomalies through mechanism tests. Institutional investors did not play the role of price discovery. Instead, their nudge behavior strengthens the short- and long-horizon behavioral anomalies. Therefore, tobacco regulatory agencies should guide listed tobacco companies to broaden information channels to reduce information asymmetry in the market through relevant policies, strengthen the supervision of institutional investors’ bubble riding behavior, and promote the healthy development of the tobacco market.

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