AR(1) Forecast Error Variance 1
For the AR(1) model X_t = phi X_(t-1) + e_t with phi = 0.6 and Var(e_t) = 1, what is the h = 3 step forecast error variance?
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中文题目For the AR(1) model X_t = phi X_(t-1) + e_t with phi = 0.6 and Var(e_t) = 1, what is the h = 3 step forecast error variance?
打开 →For the AR(1) model X_t = phi X_(t-1) + e_t with phi = 0.5 and Var(e_t) = 2.25, what is the h = 4 step forecast error variance?
打开 →A signal follows X_t = 0 + 0.6 X_(t-1) + e_t with Var(e_t) = 2 and current value X_t = 10. What is the h = 3 step forecast E[X_(t+3) | X_t]?
打开 →A signal follows X_t = 4 + 0.7 X_(t-1) + e_t with Var(e_t) = 1.5 and current value X_t = 8. What is the h = 2 step forecast E[X_(t+2) | X_t]?
打开 →A signal follows X_t = -1 + 0.8 X_(t-1) + e_t with Var(e_t) = 1 and current value X_t = 3. What is the h = 4 step forecast E[X_(t+4) | X_t]?
打开 →Spot is 100, maturity is 1 years, and the funding rate is 0.03. The quoted forward price is 104. Assuming no income and no frictions, which arbitrage direction is indicated, and what is the mispricing per unit relative to fair value?
打开 →Spot is 90, maturity is 0.5 years, and the funding rate is 0.04. The quoted forward price is 91. Assuming no income and no frictions, which arbitrage direction is indicated, and what is the mispricing per unit relative to fair value?
打开 →A GARCH(1,1) reduces to ARCH(1) when $\beta=0$: $h_t=\omega+\alpha r_{t-1}^2$. With $\omega=0.7$ and $\alpha=0.3$, compute the unconditional variance $\bar h$ as a decimal.
打开 →Compute lim_{x->0} [arcsin x - x] / x^3.
打开 →The map $x=u+v,\ y=u-v$ sends the unit square $0\le u,v\le 1$ to a parallelogram. What is its area?
打开 →Use the polar Jacobian to compute the area of the region $0\le r\le 2,\ 0\le \theta\le \pi/3$.
打开 →The map $x=2u,\ y=3v$ sends the unit disk $u^2+v^2\le 1$ to an ellipse in the $(x,y)$-plane. What is the area of that ellipse?
打开 →The map $x=u,\ y=u+2v$ sends the unit square to a parallelogram. Compute the image area.
打开 →An arithmetic-average Asian call uses four equally weighted fixings. The first three fixings are [100, 102, 98], the strike is 100, and the desk wants the final payoff to be 4. What fourth fixing is required?
打开 →A weighted arithmetic-average Asian call uses weights [1, 1, 1, 2] on four fixings. The first three fixings are [50, 52, 51], the strike is 53, and the trader wants payoff 1. What final fixing is required?
打开 →An average-strike Asian call uses four equally weighted fixings including the terminal price. The first three fixings are [90, 94, 95]. What terminal price makes the payoff exactly 5?
打开 →An arithmetic-average Asian put uses four equally weighted fixings. The first three fixings are [80, 78, 82], the strike is 81, and the desk wants the final payoff to be 2.5. What fourth fixing is required?
打开 →A weighted arithmetic-average Asian put uses weights [1, 1, 1, 2]. The first three fixings are [40, 39, 42], the strike is 41, and the target payoff is 0.5. What final fixing is required?
打开 →You observe the diagnostic statement: AIC prefers ARMA(2,1) but BIC prefers ARMA(1,1). What is the correct modeling conclusion?
打开 →A stock has three future states with prices 120, 100, and 80; the risk-free rate is 0. Calls struck at 80 trade at 28 and calls struck at 100 trade at 8. Using the digital/butterfly decomposition, find the Arrow-Debreu price of the single highest state (the state where the stock
打开 →You observe the diagnostic statement: ACF tails off geometrically, PACF cuts after lag 1. What is the correct modeling conclusion?
打开 →You observe the diagnostic statement: ACF cuts after lag 1, PACF tails off. What is the correct modeling conclusion?
打开 →You observe the diagnostic statement: Both ACF and PACF tail off. What is the correct modeling conclusion?
打开 →You observe the diagnostic statement: (1-0.5L) X_t = (1-0.5L) e_t. What is the correct modeling conclusion?
打开 →Evaluate the infinite series sum_(n=1)^inf n * (1/2)^n.
打开 →A dealer faces order flow where a fraction 0.4 of traders are informed (always trade in the correct direction) and 0.6 are noise traders who buy or sell with equal probability. The true value is equally likely high or low, so informed traders buy half the time and sell half the t
打开 →What is a fast sanity check after you compute a risk-parity or inverse-vol allocation?
打开 →Suppose $X$ is any random variable with $E[X^4]=81$. Use Markov's inequality on a suitable nonnegative variable to bound $P(|X|\ge 6)$.
打开 →Let $X$ be a nonnegative integer-valued random variable with PGF $G_X(s)$. Express $P(X\text{ is even})$ in terms of $G_X(-1)$.
打开 →Aggressive and passive child orders fill as independent Poisson processes with rates $\lambda_A=10$ and $\lambda_B=5$ per minute. What is the probability that the first three fills in the merged stream are all aggressive (stream A)?
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