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3 votes
0 answers
120 views

Shrinkage estimators outside MVO? Sample mean or James-Stein estimator?

Generic question: Are there any uses of Shrinkage estimators, such as James-Stein estimator for mean or Ledoit-Wolf estimator for covariance matrix outside mean-variance optimization (MVO) framework? ...
Sane's user avatar
  • 692
0 votes
1 answer
124 views

Monthly and annual arithmetic mean in valuations? [closed]

I know this is back to basics but I am perplexed by it!!! Assume that the future value (FV) of an investment at the end of year 1 is 112, the annual arithmetic expected return is 12%, hence the ...
lkonoplev's user avatar
1 vote
0 answers
91 views

How much compensation need to take on risk?

Quant Firm Interview Question We roll three, 8 sided dice. If same face appears 3 times we win 80 dollars. We have a bank of 10,000 dollars. How much are we willing to pay to play? What if we increase ...
MrChair549's user avatar
0 votes
1 answer
100 views

Verify numerically relation between mean deviation and standard deviation

I was reading "We Don’t Quite Know What We Are Talking About When We Talk About Volatility" by Goldstein and Taleb, and I was trying to quickly verify numerically the relation between mean ...
EC_crypto's user avatar
1 vote
0 answers
57 views

Time step in Hull white mean reverting model

Specially for mean reverting processes for interest rate simulation. Is it acceptable to directly simulate the paths at say 1 month horizon without stepping through time? Please advice.
repomath's user avatar
3 votes
1 answer
2k views

How to properly calculate the average across multiple correlations?

I'm trying to obtain an average across 3 correlations. Using Python, I obtain these correlations with: corr = df.apply(lambda s: df.corrwith(s)) which outputs: <...
peperoncino's user avatar
1 vote
3 answers
10k views

What is better: A negatively skewed return or a positively skewed returns distribution?

I noticed that in certain literature, like in CFA level 1, the theory put forth is that someone should prefer positively skewed returns as mean > median > mode. But why is that? Based on a ...
Kai's user avatar
  • 155
0 votes
1 answer
202 views

Mean estimate in portfolio optimization (Markowitz) [duplicate]

The Markowitz mean-variance portfolio optimization problem is to find the optimal allocation, $w_{optimal}$ by solving: \begin{equation} w = \mathrm{argmax} \ \mu_{t}^Tw - \frac{\gamma}{2}w^{T}\...
MathStat2718's user avatar
12 votes
9 answers
3k views

Why is asset volatility easier to estimate than the asset mean if it contains the mean?

It is well known that the variance of asset returns, $\sigma^2$ (whose square root is volatility), is easier to estimate than the asset mean $\mu$ (also known as expected return) because the mean of ...
develarist's user avatar
  • 3,090
1 vote
1 answer
54 views

How to evaluate prediction(s) made of the asset return mean?

In finance, it is well-known that the expected value of asset returns, $\mu$, otherwise known as the average return or mean or first statistical moment, is difficult to predict. I think it was ...
develarist's user avatar
  • 3,090
0 votes
1 answer
165 views

the relationship between VaR(0.05) and mean?

What is the meaning of the difference between the quantile of prob=0.05 and mean for a sample form a specific distribution? In other words, I would like to understand the relationship between ...
user459's user avatar
1 vote
1 answer
116 views

arithmetic mean of log returns that starts and ends with the same price in a time series

quick question: arithmetic mean of log returns that starts and ends with the same price in a time series say a stock time series starts at t0 price 100 fluctuates in between the time series and ends ...
charlie090's user avatar
2 votes
1 answer
73 views

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 ...
Lukas Tomek's user avatar
11 votes
2 answers
10k views

Returns and logreturns differences

I have a time series of stock prices and I tried to calculate simple returns and log returns. However, I end up that simple returns has positive mean, but log returns has negative mean. Is it possible ...
Lukas Tomek's user avatar
1 vote
0 answers
20 views

Average interest rate [duplicate]

Earlier I asked a question about average FX rate. I'm building simple linear model and need to use monthly data. I have a yearly interest rate that changes daily. How to aggregate it over the month, ...
Andrew's user avatar
  • 85
0 votes
0 answers
80 views

Currency exchange rate

I'm working with monthly data and I need to use FX rate in my model. I have daily data for exchange rate and not sure how to average it over the month. Should I compute simple arithmetic average over ...
Andrew's user avatar
  • 85
0 votes
0 answers
115 views

mean reversion model estimation - what method?

how can I estimate this model for mean reversion?
Michael R's user avatar
0 votes
1 answer
1k views

Vasicek model and spot interest rate parametrised by reversion rate

By solving an SDE I want to derive the analytical results for mean and variance of the process of extended Vasicek model. $$ dr(t) = \left(\eta - \gamma r(t) \right)dt + c dX(t) $$ where $\gamma$ ...
smartquant's user avatar
3 votes
1 answer
416 views

What is the correct way to calculate the annualized returns from rolling windows starting from monthly returns?

What is the correct way to calculate the annualized returns in 5-year rolling estimation windows starting from monthly returns? Is it most correct to first annualize the returns (using the geometric ...
Mataunited17's user avatar
4 votes
1 answer
483 views

Portfolio diversification and Sharpe ratio

I have a given trading strategy T and say 3 assets in my universe. The hold time is one day. The trading strategy can general signals for the 3 assets in any given day (so signal can trigger for any ...
ganesh reddy's user avatar
2 votes
2 answers
87 views

Why can we neglect the mean in the variance when the time step is very small?

Can anyone tell me why we can neglect the mean in the variance when the time step is very small? See the following picture: Usually, we choose a time step of one day. Is it small enough?
A.Oreo's user avatar
  • 1,253
1 vote
0 answers
187 views

Interpretation of Skew and Kurtoisis - strategy backtesting

I am working on my dissertation and i would like to provide a nice interpretation of two tables which i will present below. I have 10 portfolio buckets which i sort on 6 different attributes. One of ...
Alex Bădoi's user avatar
0 votes
1 answer
661 views

GARCH Model Constant in Regression

When regressing a variable on a constant of 1, the coefficient of this constant is the mean. However, when I specified that the residuals follow a GARCH(1,1) model, the coefficient of the constant ...
Filippo Scopel's user avatar
1 vote
1 answer
1k views

One-step ahead forecast of a AR(1) process (GARCH context)

I am using a Matlab toolbox for obtaining one-step ahead forecasts of the conditional mean from the ARMA(1,0)-GARCH(1,1) process and I have encountered a piece of code that contains, in my opinion, a ...
Masher's user avatar
  • 491
3 votes
0 answers
494 views

Finding mean vector and covariance matrix for annual returns given quarterly returns

I am currently trying to calculate a vector for the mean annual returns of 4 different asset classes along with their 4x4 covariance matrix in excel. However, I am having problems since the data I ...
user135784's user avatar
12 votes
2 answers
1k views

GARCH model, expectation of volatility?

Consider a time series $\{r_t\}$ following a standard GARCH(1,1) model, i.e., $$ r_t = \sigma_t \epsilon_t,$$ where $\epsilon_t \sim N(0,1)$ and are i.i.d, and $$\sigma_t^2 = \omega + \alpha_1 r_{t-1}^...
vitaly's user avatar
  • 121
1 vote
2 answers
506 views

Modern portfolio theory in practice

I am wondering about the Markowitz theory of portfolio construction in practice. Hence, if one wants to know the efficient frontier, what variances can one use. The only method that I can think is the ...
dimos's user avatar
  • 59
3 votes
1 answer
353 views

What is the relationship between arithmetic versus geometric averages and simple versus logarithmic prices?

I know that the geometric mean is used in order to make percentage returns across time comparable. Similarly, I know that log prices make percentage returns comparable for example when prices are ...
Constantin's user avatar
4 votes
2 answers
14k views

Sharpe Ratio, annualized monthly returns vs annual returns vs annual rolling returns?

I would like to calculate the Yearly Sharpe Ratio on MSCI World index I have monthly values of the index that falls back up to Jan/1970, hence about: 44 years, 528 months In order to calculate ...
Marco Demaio's user avatar
0 votes
1 answer
1k views

Calculating the Sum of Squared Deviations between two Normalized Price Series

How can I calculate the sum of square deviations between two normalized price series according to (Gatev et. co 2006)? My normalized price series of stocks $X$ and $Y$ consist of the cumulative total ...
Travis Liew's user avatar
2 votes
0 answers
91 views

Mean-variance minimizser

I am working on a project that involves pricing european call options in incomplete markets. Now I need to find a unique measure $Q^*$ such that $$Q^* = \min_{M_e} E_Q [V(T)-F(w)]^2 = \min_{u} E_Q [V(...
george's user avatar
  • 41
23 votes
2 answers
2k views

Diversification, Rebalancing and Different Means

I have found many financial authors making generalizations about the geometric mean (GM) and arithmetic mean (AM) but they are wrong in certain circumstances. Could someone explain their reasoning? My ...
hhh's user avatar
  • 705
18 votes
4 answers
14k views

R code for Ornstein-Uhlenbeck process

Can any one help me with some R code to run Ornstein-Uhlenbeck process?
Add's user avatar
  • 1,397
3 votes
3 answers
5k views

Mean reverting Indicator

I'm looking for an indicator which tells me if it's a good time to use mean reverting type quantitative trading strategies. In order to do so I look at the market (the few hundred stocks I trade) and ...
Zarbouzou's user avatar
  • 2,303