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Benchmark Timing regression (below) is used to evaluate market timing skills of a portfolio manager. A successful market timer will correctly foresee the future directions of the market and will load the portfolio with high beta stocks (low beta stocks) for pending up market (down market).
RP(t) = αP + BP × RB(t) + MTCP(Dt × RB(t)) + εP(t)

RP(t) = realized returns on a portfolio p during time t

αP = intercept of the regression equation

BP = portfolio beta

MTCP = market timing estimated coefficient

εP(t) = regression error terms during time period t

Dt = a dummy variable that is assigned a value of zero for down market and a value of 1 for up market

Regression on twelve years of portfolio returns produces an estimate of MTCP = 4.3 with a standard error of 1.4. These results offer an evidence of a market timing strategy:

  1. which is successful.
  2. which produces a t-statistic of 3.07.
  3. which prohibits us from rejecting the null hypothesis of H0: true, MTCP = 0.
  4. which enables us to give due credit to the portfolio manager for implementing a successful market timing strategy.
Which of the above statements are CORRECT?


A. I, II, and III.
B. I, II, and IV.
C. II, III, and IV.
D. I, II, III, and IV.
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