Richard H. Thaler is an American economist and the Charles R. Walgreen Distinguished Service Professor of
Behavioral Science and Economics at the University of Chicago Booth School of Business. In 2015, Thaler was president of
the American Economic Association. Thaler is a theorist in behavioral economics and has collaborated with Daniel
Kahneman, Amos
Tversky, and others on multiple
occasions in further defining that field. In 2018, he was elected a member in
the National Academy of Sciences. In 2017, he was awarded the Nobel
Memorial Prize in Economic Sciences for his contributions to behavioral economics. He combines a diverse range of insights
from across the social sciences—including economists’ powerful analytical tools
alongside rich evidence about real human behavior from other social
sciences—especially psychology and sociology.
In the 2018 Ryerson Lecture, he had a presentation
about Behavioral Economics and Past, Present, and Future. Speech is started
from definition of Behavioral Economics. I examined part by part to this
speech. In first part, Richard start to speak about some important people and
ecole about Behavioral Economics. Today, it seems as though everyone is talking
about behavioral economics. From Thaler opinion, Adam Smith who is the
founder of economics, is also founder of Behavioral Economics. In order to
being a Behavioral Economist, need to have three codes which are
overconfidence, loss aversion and self control. These are the core ideas of
Behavioral Economics and Smith had them. Besides, there are lots of Economist
who had these properties but Adam Smith had them all first. From the nineteenth
century onward, economics started to move away from behavior as it might be
richly understood in terms of the psychology of choice toward observed choices
as a measure of revealed preferences Then, he touch on about Keynes, from his
opinion he is Inventor of Behavioral Finance, mentioned economics is just
behavioral until Keynes. When he speak about next Early Behavioral Economist,
touch upon Pareto. He thinks every social sciences evidently psychology. His
things about in future everybody think and decide about psychology of
principle. Next, he touch briefly University of Chicago’s importance of
economics literature. Modern behavioral economists have taken this further by
bringing together rich insights from psychology to capture how economic
incentives and motivations are changed, often fundamentally, by psychological
influences.
In second part of lecture, Thaler start to define
assumptions of economics which are called optimization, consumer sovereignty,
unbiased beliefs and self interest. For customer, never choose which one is
wrong for them, people’s future expectation is also unbiased, people only
careful themselves that’s why self interest assumption is active in their
decision and in that context cut in Behavioral Economics. From his side, there
is no a model of human behavior because of two reason, firstly, some tasks are
harder than others and secondly some people are smarter than others. That’s way
economics is not theory about experts, is theory about everybody because of
human attitude. Whatever people do, they learned something from everything then
behaved in markets the way they do their experiments. Therefore this type of
unexpected behavior of people create a uncertanity. For this reason, Richard
said need to have seriously expanded data in addtion to this data must use in
optimization with tools in order to do qualified predictions. These include
behavioral analyses of incentives/motivations; social influences; heuristics,
bias, and risk; time and planning; and impacts of personality and emotions on
decision-making. He mentioned on stakes. To understand of stakes of people is
significant to have diversity type of behavior then predict something from
their behavior. Some game which is about chance shows very well the people of
emotion when you look at the their face or their movement.
The third part of speech, he mentioned The Efficiency
Market Hypothesis which is created by Fama. The EMH is generally
based on the belief that market participants view stock prices
rationally based on all current and future intrinsic and external factors. When
studying the stock market, behavioral finance takes the view
that markets are not fully efficient. In pricing, there are some
factor which is irrelevant these are sunk cost, framing and mental accounts.
Retirement saving is directly about as upon human behavior cause first of all
doing math is hard to most people and second it’s hard to delay your
gratification and cost. It’s exactly seperated these type of two people saving
cos retirement or not. Health insurance is also another one that shows to
people decision.
Concluding his comments, he said there is one theory
but tasks. For first task, Standard theory are useful, in fact essential but
they often fait to describe behavior. Point two, there is no necessarily
rational theory based on rational choice. The future thing of behavioral
finance is examine optimization of behavior and it nudge to good from his
opinion. Another presentation title is Applying Behavioral Economics to Real
World Challenges who is presented at TEDxUtrecht by Kelly Peters who is CEO and
CoFounder, BEworks, Pioneer in Behavioral Science, Researcher; Educator. She
talked about risk and opportunity is mainly about being risk averse. Different
type of the risks always open a door of new thing and these new thing creates a
new opportunity to people. Taking diversity of decision making process is
effected by age and which situation you are in personally.
Daniel Kahneman is an Israeli psychologist and economist notable for his work on the psychology of judgment and decision-making, as well as behavioral economics, for which he was awarded the 2002 Nobel
Memorial Prize in Economic Sciences (shared with Vernon
L. Smith). His empirical
findings challenge the assumption of human rationality prevailing in modern
economic theory. He talked Amundi World Investment Forum about Behavioral
Finance in 2018.
Today is not liquidity issue is about decision and
rational people issue is so important in economics situation. Actually stocks
buy or sell decision is changing upon on this thinking of people. For
individual insvestor is difficult to understand their attitude of meaning
seperately. However, you can understand their situation when you formulate to
their behavior sociologically. Vast the many of practice with immediately
feedback, has to be clear, rapid provide to us important information about
behavior of finance. In their decision making is affects with the most
significant thing about being risk averse or not.
In BBVA OpenMind Articles, there are some article
which is about Behavior Finance. In that article, they mentioned some important
issue about that. Incentives and Motivations, Social Influences and Time and
Planning. As we noted above, economics is essentially about incentives and
motivations—traditionally focusing on money as an incentive, for example in
explaining a decision to work as a balancing act in which wages earned persuade
workers to give up their leisure time. Psychologists bring a broader
understanding of motivation into behavioral economics—specifically by
disentangling extrinsic motivations from intrinsic motivations. Economists have
analyzed this phenomenon in terms of updating our estimates of
probabilities—and a classic example outlined by Abhijit Banerjee is restaurant
choice is about social influences.
All these insights from behavioral economics are now
changing mainstream economics, and also having a strong impact on policy-making
via nudging, as highlighted in the introduction. When we are doing something on
behavior finance, we can use also new methods and methodologies. Such as
machine learning and deep learning.
A significant hurdle for behavioral macroeconomics,
however, is that it is difficult coherently to aggregate into a macroeconomic
model the complexities of behavior identified by behavioral economists within a
microeconomic context. New methodologies are coming on board however, for
example in the form of agent-based modeling and machine learning. If these new
methods can be applied successfully in developing coherent behavioral
macroeconomic models, then behavioral economics will generate an even more
exciting and innovative range of insights in the forthcoming decade than it has
in the last.
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