Answer: deemphasize new information when updating their forecast.

## Explanation **Conservatism bias** refers to the tendency for analysts to be slow to update their forecasts or beliefs when presented with new information. This bias causes them to: 1. **Underweight new information** - They don't give sufficient weight to new evidence that contradicts their existing views 2. **Overweight prior beliefs** - They maintain their original forecasts longer than they should 3. **Be slow to react** - They delay updating their models even when compelling new data emerges **Why option A is correct:** - Deemphasizing new information when updating forecasts is the hallmark of conservatism bias - This bias causes analysts to be anchored to their initial views and reluctant to change them **Why option B is incorrect:** - Seeking opinions and information that agrees with one's forecast describes **confirmation bias**, not conservatism bias - Confirmation bias involves actively seeking information that supports existing beliefs while ignoring contradictory evidence **Why option C is incorrect:** - Building complex models using wide breadth of data is not specifically related to conservatism bias - This could be a characteristic of thorough analysis, but doesn't capture the essence of conservatism bias which is about how information is processed and weighted **Key distinction:** - **Conservatism bias**: Slow to update beliefs when new information arrives - **Confirmation bias**: Actively seeking information that confirms existing beliefs - **Overconfidence bias**: Overestimating one's own forecasting abilities In behavioral finance, conservatism bias is particularly problematic for financial analysts because it can lead to delayed reactions to market-moving information, resulting in suboptimal investment decisions.

Author: LeetQuiz .