Traders, managers and loss aversion in investment banking
█ Traders, managers and loss aversion in investment banking
In investment banking institutions, traders and managers exert immense pressure to maximize gains while minimizing losses. In fact, loss aversion, the tendency to prefer avoiding losses over acquiring equivalent gains, is what influences most of their decision-making. If not managed effectively, this bias can lead to suboptimal trading decisions and significantly impact the overall performance of financial institutions.
█ Background and Theory
Two critical theories, agency theory, and prospect theory, help explain how individuals within these institutions make decisions.
Agency Theory: This theory deals with the relationship between principals (e.g., shareholders) and agents (e.g., managers and traders). It posits that agents employed to make decisions on behalf of principals may not always act in the principal's best interests due to differing goals and risk appetites.
For instance, if you're a trader, you might engage in riskier behavior to maximize your bonuses. At the same time, your managers might prioritize stability and risk mitigation to protect their positions.
Prospect Theory: Introduced by Daniel Kahneman and Amos Tversky, prospect theory describes how people choose between probabilistic alternatives that involve risk. It highlights two main biases: loss aversion and the framing effect.
Loss aversion is the tendency to prefer avoiding losses over acquiring equivalent gains, and the framing effect shows that the way a problem or decision is presented can significantly impact choices.
█ Explanation of Risk Aversion and Loss Aversion
Risk Aversion: It is the preference for certainty over uncertainty. In the context of trading, risk-averse individuals prefer investments with lower risk and potentially lower returns over those with higher risk and higher potential returns.
Loss Aversion: A central component of prospect theory, loss aversion suggests that the pain of losing is psychologically about twice as powerful as the pleasure of gaining. This bias can lead traders to hold onto losing positions longer than is rational and to sell winning positions too quickly, seeking to lock in gains and avoid realizing losses.
█ Methodology
The study by Willmana et al. utilizes a qualitative research approach, focusing on detailed interviews to gather insights into the behaviors and attitudes of traders and managers in investment banking. The researchers interviewed 118 traders and managers across four leading investment banks. These interviews included questions about motivations, emotions, trading strategies, organizational culture, and experiences with gains and losses. Additionally, 10 senior managers participated in the management interview section, providing a broader perspective on organizational practices and controls.
█ Key Findings
Managers are primarily concerned with mitigating losses rather than maximizing gains. Position holders tend to intervene more aggressively when traders experience losses, emphasizing the need to cut losing positions quickly to prevent further deterioration.
The study found that managers used veto power primarily to reduce risk. As one manager said,
⚪ Differences in Risk Management Strategies
The study revealed traders often operate with significant autonomy and tend to take on more risk, particularly in pursuing higher bonuses. Conversely, managers focus on ensuring that risk levels remain within acceptable limits, stepping in mainly to curtail losses. The research showed that managers are generally ex-traders who understand the technical complexities of trading. However, their managerial role shifts their focus towards risk containment.
⚪ Impact of Bonus Structures and Incentive Systems
The study found that these systems often drive traders to take on higher risks to achieve performance targets, especially as the year-end approaches. Over half of the traders in the sample earned over £300,000 per annum, with bonuses constituting a significant portion of their total compensation.
The direction of risk-bearing behavior varied among traders toward the end of the compensation year. Some traders became risk-averse to protect their gains, while others increased their risk tolerance.
█ Practical Implications for Retail Traders
Retail traders can draw several practical implications from the findings of this study:
⚪ Awareness of Loss Aversion: Retail traders should recognize their own tendencies towards loss aversion and implement strategies to manage this bias. This might include setting predefined stop-loss limits and adhering to them strictly to avoid letting losses run.
⚪ Structured Risk Management: Just as investment bank managers focus on controlling downside risk, retail traders should establish clear risk management frameworks. This includes setting risk limits for each trade and not deviating from these limits based on emotional responses.
⚪ Balanced Focus on Gains and Losses: While avoiding losses is crucial, retail traders should also develop strategies to maximize gains. This involves identifying opportunities for larger positions when the probability of success is high, without succumbing to undue caution after achieving small gains.
⚪ Bonus and Reward Systems: Retail traders should design their own reward systems to align with their trading goals. For instance, setting incremental performance targets and rewarding themselves upon achieving these can help maintain motivation and discipline.
⚪ Continuous Learning and Adaptation: Managers in investment banks often act as mentors, providing guidance based on their experience. Retail traders should seek out mentorship or peer support to learn from more experienced traders. Participating in trading communities and continuous education can help improve trading performance over time.
█ Applying Knowledge from the Study
Retail traders can apply the knowledge derived from this study in several ways:
⚪ Develop a Trading Plan: Create a comprehensive trading plan that includes risk management rules, entry and exit strategies, and guidelines for handling losses. Regularly review and update this plan based on trading performance and market conditions.
⚪ Implement Risk Controls: Use tools such as stop-loss orders, position sizing strategies, and diversification to manage risk effectively. Ensure that these controls are strictly followed to prevent emotional trading decisions.
⚪ Monitor Performance and Adjust: Regularly review trading performance to identify patterns of loss aversion or risk-seeking behavior. Use this analysis to adjust trading strategies and improve decision-making processes.
⚪ Seek Continuous Improvement: Engage in ongoing education through books, courses, and trading simulations. Stay updated on market trends and behavioral finance insights to refine trading strategies continuously.
█ Reference
Willman, P., Fenton-O’Creevy, M., Nicholson, N., & Soane, E. (2002). Traders, managers and loss aversion in investment banking: A field study. Accounting, Organizations and Society, 27(1-2), 85-98. doi:10.1016/S0361-3682(01)00029-0.
-----------------
Disclaimer
This is an educational study for entertainment purposes only.
The information in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell securities. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on evaluating their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
In investment banking institutions, traders and managers exert immense pressure to maximize gains while minimizing losses. In fact, loss aversion, the tendency to prefer avoiding losses over acquiring equivalent gains, is what influences most of their decision-making. If not managed effectively, this bias can lead to suboptimal trading decisions and significantly impact the overall performance of financial institutions.
This comprehensive field study by Willmana et al., "Traders, Managers, and Loss Aversion in Investment Banking," examines how loss aversion manifests among traders and managers in four major investment banks. The study integrates insights from agency theory and prospect theory to explore the risk management strategies employed by both groups.
█ Background and Theory
Two critical theories, agency theory, and prospect theory, help explain how individuals within these institutions make decisions.
Agency Theory: This theory deals with the relationship between principals (e.g., shareholders) and agents (e.g., managers and traders). It posits that agents employed to make decisions on behalf of principals may not always act in the principal's best interests due to differing goals and risk appetites.
For instance, if you're a trader, you might engage in riskier behavior to maximize your bonuses. At the same time, your managers might prioritize stability and risk mitigation to protect their positions.
Prospect Theory: Introduced by Daniel Kahneman and Amos Tversky, prospect theory describes how people choose between probabilistic alternatives that involve risk. It highlights two main biases: loss aversion and the framing effect.
Loss aversion is the tendency to prefer avoiding losses over acquiring equivalent gains, and the framing effect shows that the way a problem or decision is presented can significantly impact choices.
█ Explanation of Risk Aversion and Loss Aversion
Risk Aversion: It is the preference for certainty over uncertainty. In the context of trading, risk-averse individuals prefer investments with lower risk and potentially lower returns over those with higher risk and higher potential returns.
Loss Aversion: A central component of prospect theory, loss aversion suggests that the pain of losing is psychologically about twice as powerful as the pleasure of gaining. This bias can lead traders to hold onto losing positions longer than is rational and to sell winning positions too quickly, seeking to lock in gains and avoid realizing losses.
█ Methodology
The study by Willmana et al. utilizes a qualitative research approach, focusing on detailed interviews to gather insights into the behaviors and attitudes of traders and managers in investment banking. The researchers interviewed 118 traders and managers across four leading investment banks. These interviews included questions about motivations, emotions, trading strategies, organizational culture, and experiences with gains and losses. Additionally, 10 senior managers participated in the management interview section, providing a broader perspective on organizational practices and controls.
█ Key Findings
Managers are primarily concerned with mitigating losses rather than maximizing gains. Position holders tend to intervene more aggressively when traders experience losses, emphasizing the need to cut losing positions quickly to prevent further deterioration.
The study found that managers used veto power primarily to reduce risk. As one manager said,
"My veto works only one way—to reduce risk." Managers frequently highlighted the importance of controlling downside risk. One manager noted, "My role as a manager is to cover the downside rather than the upside. I try to enforce the discipline of cutting losses rather than pushing them to add to positions."
⚪ Differences in Risk Management Strategies
The study revealed traders often operate with significant autonomy and tend to take on more risk, particularly in pursuing higher bonuses. Conversely, managers focus on ensuring that risk levels remain within acceptable limits, stepping in mainly to curtail losses. The research showed that managers are generally ex-traders who understand the technical complexities of trading. However, their managerial role shifts their focus towards risk containment.
One trader mentioned, "95% of the time, managers are traders who have been in the business a long time and they have no real management skills." Traders have a strong ethos of autonomy, with managers intervening only when necessary. A manager noted, "I consider I have a veto on any positions my traders take, even when they are within their limits. But, to give you an idea, I think last year I used it once, the year before twice, and this year, not at all."
⚪ Impact of Bonus Structures and Incentive Systems
The study found that these systems often drive traders to take on higher risks to achieve performance targets, especially as the year-end approaches. Over half of the traders in the sample earned over £300,000 per annum, with bonuses constituting a significant portion of their total compensation.
The direction of risk-bearing behavior varied among traders toward the end of the compensation year. Some traders became risk-averse to protect their gains, while others increased their risk tolerance.
One trader stated, "Risk tolerance becomes infinite at the end of the year because we don't have any personal exposure to our results in the last couple of months; we can almost become less discriminating in the trades we put on."
█ Practical Implications for Retail Traders
Retail traders can draw several practical implications from the findings of this study:
⚪ Awareness of Loss Aversion: Retail traders should recognize their own tendencies towards loss aversion and implement strategies to manage this bias. This might include setting predefined stop-loss limits and adhering to them strictly to avoid letting losses run.
⚪ Structured Risk Management: Just as investment bank managers focus on controlling downside risk, retail traders should establish clear risk management frameworks. This includes setting risk limits for each trade and not deviating from these limits based on emotional responses.
⚪ Balanced Focus on Gains and Losses: While avoiding losses is crucial, retail traders should also develop strategies to maximize gains. This involves identifying opportunities for larger positions when the probability of success is high, without succumbing to undue caution after achieving small gains.
⚪ Bonus and Reward Systems: Retail traders should design their own reward systems to align with their trading goals. For instance, setting incremental performance targets and rewarding themselves upon achieving these can help maintain motivation and discipline.
⚪ Continuous Learning and Adaptation: Managers in investment banks often act as mentors, providing guidance based on their experience. Retail traders should seek out mentorship or peer support to learn from more experienced traders. Participating in trading communities and continuous education can help improve trading performance over time.
█ Applying Knowledge from the Study
Retail traders can apply the knowledge derived from this study in several ways:
⚪ Develop a Trading Plan: Create a comprehensive trading plan that includes risk management rules, entry and exit strategies, and guidelines for handling losses. Regularly review and update this plan based on trading performance and market conditions.
⚪ Implement Risk Controls: Use tools such as stop-loss orders, position sizing strategies, and diversification to manage risk effectively. Ensure that these controls are strictly followed to prevent emotional trading decisions.
⚪ Monitor Performance and Adjust: Regularly review trading performance to identify patterns of loss aversion or risk-seeking behavior. Use this analysis to adjust trading strategies and improve decision-making processes.
⚪ Seek Continuous Improvement: Engage in ongoing education through books, courses, and trading simulations. Stay updated on market trends and behavioral finance insights to refine trading strategies continuously.
By understanding the dynamics of loss aversion and the importance of structured risk management, retail traders can enhance their trading discipline and improve their chances of long-term success.
█ Reference
Willman, P., Fenton-O’Creevy, M., Nicholson, N., & Soane, E. (2002). Traders, managers and loss aversion in investment banking: A field study. Accounting, Organizations and Society, 27(1-2), 85-98. doi:10.1016/S0361-3682(01)00029-0.
-----------------
Disclaimer
This is an educational study for entertainment purposes only.
The information in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell securities. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on evaluating their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Join Our Free Discord: discord.gg/zeiiermantrading
Access my indicators at: linktr.ee/zeiierman_trading
Earn $15
tradingview.com/gopro/?share_your_love=Zeiierman
SMC Trading
linktr.ee/zeiierman_trading
Access my indicators at: linktr.ee/zeiierman_trading
Earn $15
tradingview.com/gopro/?share_your_love=Zeiierman
SMC Trading
linktr.ee/zeiierman_trading
Related publications
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.