Determining how much to weight a recent event versus historical data or long-term trends.
Effects:
Overreaction to short-term market movements.
Misinterpreting the continuation of trends due to recent events.
Example
An investor liquidates a long-term portfolio out of panic after experiencing a week of declines while the fundamentals were sound.
How to Reduce:
• Focus on long-term investment objectives and plans.
• Use historical information for context in times of short-term events.
7. Mental Accounting
Mental accounting refers to the practice of treating money differently because
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6. Recency Bias

4. Herding Bias

Herding bias refers to when investors follow the crowd instead of making independent decisions.
Effect:
• Buying into overvalued assets during market booms.
• Selling due to fear of missing out (FOMO) in plummeting markets.
Example
Investors began buying Bitcoin at its peak during the cryptocurrency binge in 2021, driven by general hysteria but got bulldozed later on.
How to Combat:
• Research for yourself and stay the course.
• Refuse to buy under the influence of popular perception or news.
5. Confirmation Bias
Confirmation bias entails seeking and highlighting information that is
Effect:
• Buying into overvalued assets during market booms.
• Selling due to fear of missing out (FOMO) in plummeting markets.
Example
Investors began buying Bitcoin at its peak during the cryptocurrency binge in 2021, driven by general hysteria but got bulldozed later on.
How to Combat:
• Research for yourself and stay the course.
• Refuse to buy under the influence of popular perception or news.
5. Confirmation Bias
Confirmation bias entails seeking and highlighting information that is

3. Loss Aversion

Loss aversion is the tendency to prefer avoiding losses over acquiring equivalent gains. Investors feel the pain of a loss more acutely than the pleasure of a gain.
Impact
• Holding on to losing investments for too long, hoping to break even.
• Avoiding potentially profitable investments due to fear of loss.
Example
An investor holds a falling stock in her portfolio, unwilling to sell because she does not want to "realize" the loss, even if there are better opportunities elsewhere.
How to Mitigate:
Place stop-loss orders so that selling occurs automatically at a predetermined price.
J
Impact
• Holding on to losing investments for too long, hoping to break even.
• Avoiding potentially profitable investments due to fear of loss.
Example
An investor holds a falling stock in her portfolio, unwilling to sell because she does not want to "realize" the loss, even if there are better opportunities elsewhere.
How to Mitigate:
Place stop-loss orders so that selling occurs automatically at a predetermined price.
J
2. Anchoring Bias

The anchoring bias is relying excessively on the first piece of information ("anchor") that surfaces when making decisions.
Consequence:
• Investors end up holding on to a stock and won't sell, thinking that once it hits its previous highest price, they'll have made money.
• Expecting prices to go unrealistically high or low when purchasing or selling.
• If the same stock was bought at $100 and the current price is trading at $70, an investor could hold on to it until its price goes back up to $100 despite what the market says.
How to Avoid:
• Think about the present situation and p
Consequence:
• Investors end up holding on to a stock and won't sell, thinking that once it hits its previous highest price, they'll have made money.
• Expecting prices to go unrealistically high or low when purchasing or selling.
• If the same stock was bought at $100 and the current price is trading at $70, an investor could hold on to it until its price goes back up to $100 despite what the market says.
How to Avoid:
• Think about the present situation and p
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