BEHAVIORAL FINANCE IN THE ERA OF COVID-19

Year 2021, Volume: 14 Issue: 1, 106 - 107, 31.12.2021

Thorsten Hens Vahit Ferhan Benlı

https://doi.org/10.17261/Pressacademia.2021.1496

Abstract

Purpose- Traditional finance has focused on the ideal scenario of thorougly rational investors in efficient markets. Accordingly, the market
remains efficient even if some investors behave irrationally. In practice however, we observe that even professional investors behave
irrationally and may decide under behavioral biases. Moreover, in efficient markets the mean-variance optimisation is no longer rational.
Behavioral Finance gives more attention to the investor’s behavior.This newly designated “investor”dislikes losses more than volatility, reacts
more to losses than gains and reveals different type of risk profiles. Consequently, this investor invests differently during the Covid-19 era
than the theoretical investor in the traditional decision theory. In this context, the purpose of this paper is to make investors aware of the
typical behavioral biases they fall prey to in times of market crashes. Surrounded with different type of biases, we can observe and experience
that investors are human beings whose decisions might be driven by emotions or misunderstandings and they might use heuristics to handle
information and make investment decisions. They might buy an asset when it is expensive and sell it whey it is cheap as the model of a
“roller coaster”.
Methodology- We will be relying our research to the foundations of behavioural finance, namely the decision theory. Decision theory has
three broad paradigms: expected utility theory, prospect theory and mean-variance analysis. Expected utility theory clarifies which decisions
are rational, prospect theory describes which decisions are most often observed, and mean-variance analysis is the best known decision
model in practice. To more deeply understand why we may observe such behaviour, we consider a typical decision-making process and
discuss how each stage of the process can be biased. Based on interesting findings of recent literature analysing individual and market
behaviour during the COVID-19 stock market crash we suggest a model that describes these findings along the roller coaster of emotions
during stock market cycles.
Findings- The coronavirus has a severe impact on all major asset classes. A naive investor was falling prey of many behavioral biases.
Monetary and fiscal policy can only cure symptoms. Severe restrictions and medical advances were needed to fight it. We are almost through
this crisis but some other crises will also happen. We find adapative behavior, panic selling and regret on the level of individual investors as
well as overreaction on the level of the market and probability matching biases. We found that people react to a high randomness in a
stochastic process with high activity and market timing in high volatility is impossible to exercise for investors.
Conclusion- The COVID 19 crisis was a typical market crash. One of the major macro conclusions is the fact that the FED and the other central
banks cannot fight against the coronavirus while burning massive amounts of cash in an “infected market”. This is the point where the
monetary policy based investments could not be taken under loop. In an infected market you observe an “Illusion of Control”. The investors
would think that everything would be under “control” even though the markets were showing higher volatilities. Contrary to the fundamental
investment theories where people would rest and slow down the investment activities during higher volatility, the behavioral investor would
find himself in a more stochastic investment process with higher volumes of investment and/or disinvestment activities. Consequently, it is
important to learn from it so that investors avoid behavioural biases in the next stock market crash.

Keywords

Behavioral finance, Covid 19, Incomplete Markets, Financial Crisis, Criteria for Decision-Making under Risk and Uncertainty, Portfolio Choice, Investment Decisions, Evalutionary Finance

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