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Basic Question 0 of 2
A long investment time horizon is typically associated with ______.
B. investments with high liquidity
C. deferral of capital gains
A. low-risk investments
B. investments with high liquidity
C. deferral of capital gains
User Contributed Comments 8
| User | Comment |
|---|---|
| jallado0 | why not A? |
| Shelton | HR (high risk) |
| yly14 | remember risk tolerance and time horizon are the two parameters for portfolio investing, one is preferably independent of the other. |
| bobert | If you have a longer time horizon you also have a longer time to reaccumulate funds in the event you have a loss, low-risk has lower returns due to the reduced risk and are better for shorter time horizons when an investor is not capable of going back to work for instance. |
| Khadria | B is a better choice than A |
| StanleyMo | with longer time you can tolerate with the higher risk, guess this is talking about share market. |
| tim2 | If you have a short time horizon, eg. you need the money next month to pay for a house you'd probably go for low risk such as leaving it in the bank. If you are leaving it 40 years you might go high risk eg. emerging markets etc |
| gulfa99 | long risk can also apply to sovereign or corporate bonds. Say if you have no liquidity need for 10 years, you can invest your funds in xxx bonds paying 10% semiannually. The price of the bonds is affected by interest rate movement, if Interest rates move higher then the price of long term bond will drop and this will result in a loss if you have a liquidity need. where as short term investments are based on your liquidity needs..say 1, 3 or 6 months t-bills |
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Learning Outcome Statements
describe the structure of an autoregressive (AR) model of order p and calculate one- and two-period-ahead forecasts given the estimated coefficients;
explain how autocorrelations of the residuals can be used to test whether the autoregressive model fits the time series;
explain mean reversion and calculate a mean-reverting level;
contrast in-sample and out-of-sample forecasts and compare the forecasting accuracy of different time-series models based on the root mean squared error criterion;
CFA® 2025 Level II Curriculum, Volume 1, Module 5.