Let I be the insurance coverage Vijay purchases. He pays a premium of 0.30×I regardless of outcome, and receives a payout of I only if an accident occurs.
Wealth if no accident (probability 0.6): Wno=1,000,000−0.30I
Wealth if accident (probability 0.4): starting wealth minus the 60% car-value loss (600,000), minus the premium, plus the insurance payout:
Wyes=1,000,000−600,000−0.30I+I=400,000+0.70I
Expected utility:
EU(I)=0.6ln(1,000,000−0.30I)+0.4ln(400,000+0.70I)
Maximizing: taking the derivative with respect to I and setting it to zero:
dIdEU=0.6⋅1,000,000−0.30I−0.30+0.4⋅400,000+0.70I0.70=0
Solving this equation (verified via symbolic and independent numerical optimization) gives:
I∗≈990,476
Since the premium rate (30%) is well above what would be actuarially fair for a 40% accident probability, Vijay optimally buys close to but not quite full coverage — consistent with the general principle that risk-averse agents buy less than full coverage when insurance is priced above actuarially fair rates.
Therefore Vijay will purchase insurance coverage of approximately ₹990,476.