Nonrevealing Equilibria and Consumption-Based Asset Pricing Models

2006 ◽  
Vol 6 (1) ◽  
Author(s):  
James E Gunderson

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.

2020 ◽  
Vol 31 (84) ◽  
pp. 458-472
Author(s):  
Alexandre Aronne ◽  
Luigi Grossi ◽  
Aureliano Angel Bressan

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.


2021 ◽  
Vol 7 (5) ◽  
pp. 1904-1922
Author(s):  
Liu Yue ◽  
Liu Tianming

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.


2020 ◽  
Vol 12 (2) ◽  
pp. 39
Author(s):  
Neelangie Sulochana Nanayakkara ◽  
P. D. Nimal ◽  
Y. K. Weerakoon

Neoclassical asset pricing models try to explain cross sectional variation in stock returns. This study critically reviews the findings of empirical investigations on neoclassical asset pricing models in the Colombo Stock Exchange (CSE), Sri Lanka. The study uses the structural empirical review (SER) methodology to capture a holistic view of empirical investigations carried out in the CSE from the year 1997 to 2017.The pioneering Capital Asset Pricing Model (CAPM) (Sharpe, 1964; Lintner, 1965: Black, 1972) (SLB) states that market betas of stocks are sufficient to explain the cross sectional variation of stock returns. Alternatively there are multifactor models (Ross, 1976; Chen, 1986; Fama and French, 1993, 2015; Cahart, 1997) that state stock returns are driven by multiple risk factors. Similar to other markets the findings on the SLB model are not consistent in the CSE. The Fama and French (1993) and the Cahart (1997) models are supported in the CSE which is consistent with other markets, but the explanatory powers of them are substantially low in the Sri Lankan context. Contrasting the findings of a significant impact of macroeconomic factors on stock returns in developed markets, the impact of them in the CSE are temporary.The overall findings of the applicability of neoclassical asset pricing models in the CSE are inconsistent and inconclusive and the study identifies two reasons that may have contributed to such results. Firstly, it recognises that the inherent limitations of neoclassical asset pricing models may have affected the findings in the CSE. Secondly, it supports the argument that neoclassical models, as they are may not be applicable in emerging or frontier markets, thus they may need to be augmented with characteristics of such markets to make them more applicable.


2019 ◽  
Vol 3 (3) ◽  
pp. 49-62
Author(s):  
Kamal Gupta

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.


2019 ◽  
Vol 133 (2) ◽  
pp. 273-298 ◽  
Author(s):  
Narasimhan Jegadeesh ◽  
Joonki Noh ◽  
Kuntara Pukthuanthong ◽  
Richard Roll ◽  
Junbo Wang

2021 ◽  
Vol 15 (5) ◽  
pp. 59-81
Author(s):  
Lovleen Gupta ◽  
Juhi Jham

The study addresses the growing popularity and need of green investing. Green investing have been shown to churn lesser yields and underperform general market portfolios. Rapid growth of green bonds, green funds and green theme indices worldwide indicate towards the growing segment within investment community. The ethical screens lead to crunching of investable universe as a result such funds are expected to lose on diversification benefits. The study attempts to investigate the performance of green and non-green portfolios during the crisis and validate the differential impact of crisis on their demand. It further examines the impact of market cycles on the returns of portfolios. The period is classified into pre-crisis, crisis and post-crisis period. Asset pricing models believed to explain the returns on well diversified market portfolio have been applied on constructed green and non-green portfolios to measure the abnormal return. Green portfolios are noticed to be picking pace and outperforming market after the crisis surpassed. Indian investors are not penalizing companies for their green initiatives and such initiatives are believed to drive demand for the stock.


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