hard · FRM Part 1
An analyst is concerned that a time-series regression of equity returns on interest rates suffers from positive serial correlation in the residuals.
If the analyst ignores this and uses standard OLS, what is the most likely impact on the hypothesis tests for the coefficients?
- Standard errors will be understated, leading to overinflated t-statistics and frequent Type I errors.
- Standard errors will be overstated, making it too difficult to reject the null hypothesis.
- The coefficient estimates will be biased and inconsistent.
- The R² will be systematically lower than the true population value.
Sign up free to see the explanation and track your rank →
More FRM Part 1 practice
- According to the CAPM, which type of risk are investors compensated for bearing?
- What specific variety of liquidity risk is being described?
- How is 'Risk Capacity' distinguished from 'Risk Appetite' in a standard risk governance fr
- If a loan has a Probability of Default (PD) of 2.0%, an Exposure at Default (EAD) of $1,00
- If two portfolios have the same Sharpe ratio but one has positive skewness and the other h
- In a 'Liquidity Spiral', what is the primary channel by which market liquidity risk and fu
- In the context of the CAPM, what is the definition of 'Alpha' (α)?
- In the risk decomposition formula σ^2_i = β^2_i σ^2_M + σ^2_ε, what does σ^2_ε represent?