Questions tagged [moments]
The moments tag has no usage guidance.
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Portfolio construction in the real world [closed]
Good day. I am looking to understand how the portfolio construction process is actually done in the industry. Now, I do not know if there are too many resources on how things are currently being done (...
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implied-information in american option
I have recently been researching European options versus American options implied information. For European options, an overview article is Christoffersen(2012). But for American options, I only found ...
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Saddlepoint approximation when CGF is approximated
According to the saddlepoint approximation, if the cumulant generating function $K(t) = \log E[e^{tX}]$ of the distribution of the random variable $X$ exists and is known, then the density $f(x)$ of $...
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Is there a modified Bachelier's futures spread option model with adjustments for skew and kurtosis?
I'm looking at pricing a very large deal and while the distribution is kind of "normal," there's quiet a bit of skew and kurtosis that isn't being considered when I use the normal Bachelier'...
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BKM risk neutral moments in python
I am trying to compute the BKM implied moments (Bakshi,
Kapadia and Madan 2003) in python by following this paper:
Neumann, Skiadopoulos: Predictable Dynamics in Higher Order Risk-Neutral Moments: ...
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Asian option analytical approximation
I'm trying to approximate the price of an Asian option via the Black-Scholes formula by considering the discrete arithmetic average as a log-normal distribution.
$$
A_{T}(n):=\frac{1}{n} \sum_{i=1}^{n}...
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Power options for pricing European claims
I have the following question:
Why would somebody be interested in the expression $E[S^\theta]$ for $\theta$ between zero and one.
The only thing I know is that this then can be somehow used to ...
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using moment matching to price spread options (multi asset)
this is my very first question in this forum, after having been a greed follower since a few years, feeling that I need your help in a topic.
I need to price a multi asset option that has the ...
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1
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Maximum skewness portfolio solution derived from its Lagrangean formulation
$$\arg \min_w \quad w^\top \Sigma w$$
\begin{align}\text{s.t.} \quad \mathbf{1}^\top w = 1 \end{align}
is the optimization problem for the minimum-variance portfolio weights, whose analytical solution,...
- 6,425
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2
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Why isn't the asset with minimum variance given a 100% portfolio weight? [closed]
The maximum expected return portfolio is the one that assigns a 100% weight to the asset with the highest expected return amongst all assets under consideration.
Shouldn't then the asset with the ...
- 6,425
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Alternative low-moment measure of skewness
$$
\widehat{\text {Skew}}_{i, t}=\frac{3 \cdot\left[\hat{\mu}_{i, t}-\operatorname{median}\left(r_{i, d, t}\right)\right]}{\hat{\sigma}_{i, t}}
$$
is called Low Moment Skewness by Baltas and Salinas (...
- 2,980
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Is there Cornish-Fisher volatility, given that there is Cornish-Fisher Value-at-Risk?
The Cornish-Fisher expansion is used to approximate the quantile $q_\alpha$ of a return distribution in order to extend the traditional Value-at-Risk (VaR) measure
$$VaR = \mu(X) + \sigma(X) q_\alpha $...
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Do portfolio mean and portfolio variance have probability distributions?
If $X$ is a $T\times N$ matrix of multivariate asset returns,
and $w$ is some optimal portfolio weight vector,
then the portfolio return series is $r_p = X w \in\mathbb{R}^{T}$. This return series ...
- 9,215
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Contribution of an asset's variance, skewness and kurtosis to its portfolio weight?
The mean-variance model is known to assign higher weights to assets with high expected returns and low volatility, meaning that there is a direct link between the asset's weight within the portfolio ...
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asymptotic behavior of the pdf constraints due to Roger Lee
In a beautiful paper, http://math.uchicago.edu/~rl/moment.pdf, Roger Lee (2004) shows that implied variance is bounded above by a function linear in the log-strike k.
Does anybody know how it ...
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Higher moments of a straddle
Following the logic of Ben-Meir and Schiff (2012) and this question the first, second, third and fourth raw moments of a put are:
Similarity, for a call it is as follows:
where
and
...
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Calculate moments given density values
Suppose I have given a finite number of grid values belonging to a probability density function. Moreover, I have the associated values of the density support. For instance:
...
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Any portfolio models not based on asset return moments?
The mean-variance model for portfolio optimization minimizes portfolio risk (covariance matrix), which is the second statistical moment of multivariate asset returns, and sometimes simultaneously ...
- 2,980
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Does standardizing/normalizing asset returns change their skewness and kurtosis?
Asset returns are obtained by log-differencing prices. Standardizing or normalizing/scaling asset returns can be carried out by de-meaning the returns and dividing them by their standard deviation, ...
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Kurtosis of a straddle
I want to determine the kurtosis of a straddle. My question is closely related with the following topic here.
According to the following paper of Ben-Meir and Schiff (2012) the expected value of a ...
- 5,008
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1
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Cornish Fisher VaR Parameters Calibration
I am trying to calculate Cornish-Fisher (modified VaR), but I am in a trouble because when I am reading some articles, some authors calculate the Cornish-Fisher expansion taking parameters S and K, as ...
- 6,425
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Show that Riemann integral over BM is gaussian process
I am looking at the process
$$X_t = \int_0^tB_udu$$
I know that this is a gaussian process with variance $t^3/3$. However, I would like to manually show the first statement directly.
For this, I ...
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Ito isometry and the covariance of an Ito process
Let $(B_t)_{t \geq 0}$ et $(W_t)_{t \geq 0}$ be two independent Brownian motions and let $f: \mathbb{R} \rightarrow \mathbb{R}$ a deterministic function of time. We define the following process:
\...
CommunityBot
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1
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ARMA moments proof
Consider a standard ARMA(1,1) process such as
$$x_t - \beta x_{t-1} = \theta u_{t-1} + u_t$$
where $u_t$ is i.i.d. $u_t \sim N(0,\sigma^2)$. I know how to derive mean and variance with stationary ...
- 1,082
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Analytical formula for the moments of SABR model?
Do analytical formulae exist for the central moments under the SABR model? Assuming dynamics for the forward rate $\{F_t, t \geq 0\}$ under a shifted SABR model. How do we derive $\mathbb{E}[X(T)^n]$ ...
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The possible preferences of investors for higher than first 2 moments of return distribution?
Can anyone explain in an intuitive manner a justification for possible preferences of investors for moments of return distribution beyond the first two moments (i.e. mean and variance). For example, ...
- 547
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Is positive skewness preferences rational or irrational?
Is positive skewness preference rational or irrational?
I have a great trouble understanding why investors should prefer positive skewness over negative one. Sometimes it is argued that preference ...
- 547
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Relationship between Implied Volatility Curve Derivatives and the Underlying's Moments
Very probably this question has been posed before, so if someone can pose the link to the relevant question, it would be appreciated.
What is the relationship between the implied volatility skew and ...
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Using GO GARCH to optimize a yearly-rebalanced portfolio based on daily data
Is it reliable to optimize portfolio weights on a yearly-rebalanced portfolio based on the Generalized Orthogonal GARCH (GO-Garch) covariance, coskewness, and cokurtosis matrices with the rmgarch R-...
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Risk Neutral Variance Gamma
In the risk neutral version of the Variance Gamma model the stock dynamics are
$$S_T=S_0 e^{ (r-q+\omega)t + X(t;\sigma,\nu,\theta)}$$
with
$$\omega=\frac{1}{\nu}\ln\left(1-\theta \nu - \frac{\...
CommunityBot
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How to price this basket option?
Underlying assets are three global stock index : Eurostoxx 50, HSI, KOSPI 200
Maturity: 36 months with advanced redemption date in every 6 months if prices of indexes satisfy given conditions at each ...
CommunityBot
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Second Moment of Stock Process
I have a stock process which I have decided to model as $$S_T=S_t\exp((r-q-\frac{1}{2}\sigma^2)(T-t)+\sigma(W_T-Wt))-D_T$$ where $D_T$ is a cash dividend at time $T$. This dividend is known. I then ...
CommunityBot
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Fourth moment of ARCH(2)
I am studying the ARCH(2) process given by
$$X_t = \sqrt{h_t} \varepsilon_t$$
where
$$h_t = \alpha_0 + \alpha_1 X_{t-1} ^2 + \alpha_2 X_{t-2} ^2$$
and $\varepsilon_t$ follows $N(0,1)$. ...
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