aversion, as a cognitive bias, directly influences
household financial decisions, potentially causing
them to miss out on stock market premiums and
thereby affecting potential returns (Chen & Lu,
2024).
At the same time, the impact of loss aversion
varies across households with different economic
conditions. Low-income households, due to their
weaker risk tolerance, are more significantly affected
by loss aversion, which further limits their ability to
generate wealth through the stock market.
Some scholars have also explored the impact of
loss aversion on the stock market by constructing
simulated stock trading models (Bertella et al., 2020).
In these models, which include both fundamental
investors and chart analysts, it was found that
introducing a small number of chart analysts leads to
higher stock returns, along with increased volatility
and kurtosis, which aligns with real stock market
behavior. When 5% of chart analysts exhibited loss
aversion, trading volume significantly decreased,
even though these investors held more stocks and
adopted a “buy and hold” strategy to reduce losses.
This behavior suggests that loss aversion may lead
investors to be more cautious, reduce trading activity,
and thus influence stock market liquidity and price
stability.
Loss aversion offers a new perspective on the
study of the stock market, playing an important role
in understanding irrational behavior, market
volatility, and other aspects of stock market
dynamics. For example, some financial institutions
are already trying to use this factor to improve
policies (van Dolder & Vandenbroucke, 2024). Loss
aversion also highlights the significant impact of loss
aversion on human decision-making when facing
uncertain decisions involving potential losses in the
stock market.
4.2 Loss Aversion in Consumer Market
Loss aversion also has a significant impact on the
consumer market, especially in price-sensitive
markets. Research has found that in the gasoline retail
market, when consumers face price changes, their
search behavior is significantly influenced by loss
aversion (Castilla & Haab, 2010). Consumers
typically evaluate current prices based on expected
prices. When the price exceeds expectations,
consumers perceive a loss, as it means they have to
pay more than anticipated. This feeling of loss drives
them to search more for lower prices to compensate
for the difference. In the study, when prices were
2.5% higher than expected, the probability of
consumers searching was significantly higher
compared to when prices were 5% higher than
expected. Conversely, when the price is lower than
expected, consumers perceive a gain, as it means they
can purchase the product at a price below their
expectation. This feeling of gain reduces their
motivation to continue searching, as they have
already secured a better deal than expected. In the
study, when the price was 2.5% lower than expected,
only a few consumers chose to continue searching.
Researchers found that loss aversion leads to
asymmetric search behavior in the consumer market.
Consumers are more likely to search when facing a
loss, but are more likely to stop searching when
facing a gain. This behavior affects both consumers'
purchasing decisions and price competition in the
market.
In the real estate market, research has found that
when housing prices decline, property sellers, due to
loss aversion, tend to set asking prices higher than the
market value in order to reduce the sense of loss. Data
from the Boston condominium market indicates that
sellers facing a loss set the asking price between 25%
and 35% of the difference between the expected
selling price and the original purchase price
(Genesove & Mayer, 2001). Because sellers are
unwilling to accept selling prices below the purchase
price, many properties are withdrawn from the
market, leading to a reduction in the number of
properties available for trade. This behavior affects
the supply and demand balance in the real estate
market, as well as the market's price liquidity and
transaction volume.
Overall, loss aversion in the consumer market
leads to price adjustment asymmetry and irrational
trading behavior, which has a significant impact on
the stability and efficiency of the market.
4.3 Loss Aversion in Education
Loss aversion offers new insights into teacher
incentive mechanisms. Traditional teacher incentive
programs typically operate within a rewards
framework, where bonuses are given based on
students' performance at the end of the academic year.
However, the effectiveness of this approach has been
less than ideal. Research has found that by leveraging
the psychological effect of loss aversion—prepaying
the bonus and requiring teachers to return part of it if
students perform poorly — it is possible to
significantly improve students' academic
performance (Fryer et al., 2012). A field experiment
conducted at a school in Highland, Chicago, revealed
that the teacher incentive program based on loss