PDF Notes: V1 CFA

    Master this deck with 12 terms through effective study methods.

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    What defines the Time Value of Money?

    It reflects the principle that money available now is worth more than the same amount in the future due to its potential earning capacity.

    What is the difference between Arithmetic Mean Return and Geometric Mean Return?

    Arithmetic Mean is the simple average, while Geometric Mean accounts for compounding over time.

    What happens if interest rates increase?

    The present value of future cash flows decreases, leading to lower bond prices.

    What is Holding Period Return?

    It measures the total return on an investment over a specific period.

    How do Money-Weighted and Time-Weighted Returns differ?

    Money-Weighted considers the timing and amount of cash flows, while Time-Weighted measures performance independent of cash flows.

    What is the implication of continuously compounded returns?

    They provide a more accurate measure of investment growth over time compared to discrete compounding.

    What defines a Real Return?

    It adjusts nominal returns for inflation, reflecting the true increase in purchasing power.

    What is the purpose of the Central Limit Theorem?

    It states that the distribution of sample means approaches a normal distribution as sample size increases.

    What is the significance of the Coefficient of Variation?

    It measures the relative variability of a data set compared to its mean, useful for comparing risk across different investments.

    What is the role of hypothesis testing in finance?

    It helps determine if there is enough evidence to support a specific claim about a population parameter.

    What distinguishes parametric from non-parametric tests?

    Parametric tests assume a specific distribution, while non-parametric tests do not rely on distribution assumptions.

    What is the purpose of Monte Carlo Simulation?

    It models the probability of different outcomes in processes that are difficult to predict due to the intervention of random variables.