How can we improve volatility forecasts in practice relative to simply computing volatility as standard deviation of historical returns? Pick all answers that apply.

a$)$ Compute variance instead of volatility

b$)$ Use more high$-$frequency data

c$)$ Discard most recent observations

d$)$ Put more weight on recent observations