Can Myopic Loss Aversion Explain the Equity Premium Puzzle? Evidence from a Natural Field Experiment with Professional Traders

نویسندگان

  • Francis Larson
  • Robert D. Metcalfe
چکیده

Behavioral economists have recently put forth a theoretical explanation for the equity premium puzzle based on combining myopia and loss aversion. Complementing the behavioral theory is evidence from laboratory experiments, which provide strong empirical support consistent with myopic loss aversion (MLA). Yet, whether, and to what extent, such preferences underlie behaviors of traders in their natural domain remains unknown. Indeed, a necessary condition for the MLA theory to explain the equity premium puzzle is for marginal traders in markets to exhibit such preferences. Using minute-by-minute trading observations from over 864,000 price realizations in a natural field experiment, we find data patterns consonant with MLA: in their normal course of business, professional traders who receive infrequent price information invest 33% more in risky assets, yielding profits that are 53% higher, compared to traders who receive frequent price information. Beyond testing theory, these results have important implications for efficient resource allocation as well as characterizing the optimal structure of social and economic policies.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Do Professional Traders Exhibit Myopic Loss Aversion? An Experimental Analysis

Two behavioral concepts, loss aversion and mental accounting, have recently been combined to provide a theoretical explanation of the equity premium puzzle. Recent experimental evidence suggests that undergraduate students’ behavior is consistent with this “myopic loss aversion” conjecture. Our suspicion is that, much like certain anomalies in the realm of riskless decisions, these behavioral t...

متن کامل

The Effect of Information Feedback Frequency and Investment Flexibility on Myopic Loss Aversion

The prospect theory proposed by (Kahneman and Tversky, 1979) stated that people are risk-averse when faced with profits and risk-loving when faced with loss. Benartzi and Thaler (1995) combined the Myopic Loss Aversion and Mental Accounting in explaining the equity premium puzzle. Gneezy and Potters (1997) found that the betting amount under high-frequency information feedback is higher than th...

متن کامل

Examination‌ of Equity Premium Puzzle by Consumption Capital Asset Pricing Model with Fuzzy Nested Regimes: Evidence from Iran

The aim of this study is to examine the equity premium puzzle in Iran for the quarterly period of 1993-2016. In this regard, the hybrid bivariate Garch model and also fuzzy dummy variables with consumption capital asset pricing model (C-CAPM) have been used. The results of study show that using C-CAPM within fuzzy dummy variables (CCAPM-F), the relative risk aversion coefficient of investor is ...

متن کامل

Computational Aspects of Prospect Theory with Asset Pricing Applications

We develop an algorithm to compute asset allocations for Kahneman and Tversky’s (1979) prospect theory. An application to benchmark data as in Fama and French (1992) shows that the equity premium puzzle is resolved for parameter values similar to those found in the laboratory experiments of Kahneman and Tversky (1979). While previous studies like Benartzi and Thaler (1995), Barberis, Huang, and...

متن کامل

Risk Perceptions and Financial Decisions of Individual Investors

Myopic loss aversion was suggested by Benartzi and Thaler (1995) as the main explanation for the equity premium puzzle. We investigate the impact of myopic loss aversion on actual investment decisions of 400 Dutch individual investors, covered by the Dutch National Bank Household Survey. We find that higher loss aversion is associated with a lower share of investments in risky assets. The inves...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017