投资组合业绩评估

def solve(____):
    import math
    port_mean = sum(____) / len(____)
    bench_mean = sum(____) / len(____)
    port_std = math.sqrt(sum((____) ** ____ for r in portfolio_returns) / len(____))
    bench_std = math.sqrt(sum((____) ** ____ for r in benchmark_returns) / len(____))
    sharpe = (____) / port_std
    excess_returns = [p - b for p, b in zip(____)]
    tracking_error = math.sqrt(sum((r - sum(____) / len(____)) ** ____ for r in excess_returns) / len(____))
    information_ratio = sum(____) / len(____) / tracking_error if tracking_error > ____ else ____
    return {"____": round(____), "____": round(____), "____": round(____)}