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中文题目
题目4758 · 数理金融

Flatter smile

If the smile becomes flatter in log-moneyness, what happens to the difference between sticky-strike and sticky-moneyness for small spot moves?

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题目4754 · 数理金融

Forward smile matters

Why can two models fit today's smile similarly well and still disagree strongly on forward smile behavior?

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题目4756 · 数理金融

Bigger spot rally

If the smile has negative slope in log-moneyness, what happens to the fixed-strike implied vol shift under sticky-moneyness when the spot rally becomes larger?

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题目4755 · 数理金融

First thing to ask

Before arguing about the 'right' smile-dynamics convention, what should you ask first?

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题目4676 · 数理金融

Local Vol Scenario 11

Why can a local-vol model fit today's vanilla surface exactly while still generating unrealistic smile dynamics tomorrow?

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题目4741 · 数理金融

Sticky-Strike Versus Sticky-Moneyness 1

Suppose the smile is parameterized in log-moneyness by sigma(k)= 0.2 + -0.12 k, with fixed strike K=110. Spot moves from 100 to 110. What implied volatility would the strike have under sticky-strike and under sticky-moneyness?

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题目4751 · 数理金融

Why conventions matter

Why is saying 'the smile moved' incomplete unless you also say under which smile-dynamics convention you are describing it?

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模块1.4.4 · 金融与量化投资 · 衍生品

波动率

derivatives · volatility · implied-volatility · smile · skew · root-finding · volatility-surface · term-structure

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题目4757 · 数理金融

Bigger selloff

With a typical downside skew, what happens to fixed-strike implied vol under sticky-moneyness after a larger selloff?

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题目4746 · 数理金融

Fixed-Strike Vol Shift 1

With sigma(k)= 0.24 + -0.2 k in log-moneyness and fixed strike K=105, spot moves from 100 to 95. Under a sticky-moneyness convention, by how much does the fixed-strike implied volatility change?

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题目2296 · 数理金融

Jump Compensator Recovery 1

A desk uses the simplified risk-neutral drift relation mu_Q = r - lambda*kappa for a jump-diffusion. If r = 3.00%, lambda = 1.2, and mu_Q = 0.60%, what jump compensator kappa is implied?

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题目2297 · 数理金融

Jump Compensator Recovery 2

In a simplified jump-diffusion, mu_Q = r - lambda*kappa. If r = 2.50%, kappa = 1.60%, and mu_Q = 0.50%, what jump intensity lambda is implied?

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题目2299 · 数理金融

Jump Compensator Recovery 4

A desk writes the compensated jump-diffusion drift as mu_Q = r - lambda*kappa. If mu_Q = 0.60%, lambda = 1.5, and kappa = -0.40%, what risk-free rate r is consistent with that setup?

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题目2300 · 数理金融

Jump Compensator Recovery 5

A desk uses the simplified risk-neutral drift relation mu_Q = r - lambda*kappa for a jump-diffusion. If r = 1.50%, lambda = 2, and mu_Q = -0.30%, what jump compensator kappa is implied?

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题目2306 · 数理金融

Jump Variance Decomposition 1

A simplified jump-diffusion desk decomposition writes total log-return variance over horizon T as sigma^2*T + lambda*T*delta^2. If sigma = 0.2, T = 1, lambda = 0.8, and total variance is 0.0884, what jump-size dispersion delta is implied?

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题目2307 · 数理金融

Jump Variance Decomposition 2

Using total variance = sigma^2*T + lambda*T*delta^2, suppose sigma = 0.18, T = 0.5, delta = 0.12, and total variance is 0.027. What jump intensity lambda is implied?

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题目2308 · 数理金融

Jump Variance Decomposition 3

A simplified jump-diffusion uses total variance = sigma^2*T + lambda*T*delta^2. If lambda = 1.2, T = 1, delta = 0.08, and total variance is 0.0624, what diffusion volatility sigma is implied?

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题目2310 · 数理金融

Jump Variance Decomposition 5

Suppose total log-return variance over horizon T is modeled as sigma^2*T + lambda*T*delta^2. If sigma = 0.22, lambda = 1.1, delta = 0.09, and total variance is 0.03883, what horizon T is implied?

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