# Questions tagged [asset-returns]

The tag has no usage guidance.

59 questions
Filter by
Sorted by
Tagged with
42 views

### How to adjust a portfolio's rate of return for contributions and withdrawals?

Suppose we have a portfolio with many assets. Since this portfolio receives monthly contributions and withdrawals, what is the best method to evaluate its global rate of return and avoid computing ...
30 views

### Using Timeseries DB for Tracking Asset Performance over time

I am building a system that allows users to purchase digital assets, and i would like to know the asset's performance of individual users. A user may purchase an asset multiple time in a single day, ...
26 views

### Do asset return correlations have strong non-linear interactions? [duplicate]

If I compute the correlation matrix for $N$ stocks or indices, are there always expected to be strong non-linear dependencies between each asset pair-wise? Or are there only linear dependencies in ...
51 views

### How to compute returns from cumulative returns in Python? [closed]

If X is a $T\times N$ pandas DataFrame of multivariate asset returns, the cumulative returns can be computed in python as (1 + X).cumprod() - 1 How can I reverse this operation so that I go ...
19 views

### Forecasting credit returns

I am doing some "rough"/"back-of-the-envelope" estimation for 10-year credit returns based on some IG and HY credit indices (not specific bonds). My basic assumption is that the ...
122 views

### Which financial time series have a PDF and/or CDF?

Consider the following types of financial time series for a single publicly-listed stock: Price data Log returns Cumulative returns Each is computed from the item listed before it: log returns are ...
47 views

### How to simulate asset prices/returns that display market regimes?

Are there any techniques that can make a multivariate random number generating process for stock prices/returns, like geometric Brownian motion via Cholesky, also include the simulation of a finite ...
26 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 ...
12 views

### Is it easier to estimate the mean of volume/dollar bar returns than time bars?

Financial data, by default, is sampled using constant intervals of time, i.e. we collect the prices of assets every day, and then take the log-differences of prices to compute daily returns. These are ...
180 views

### Normality or Log-Normality of Regular Returns

Another old question on this site (How to simulate stock prices with a Geometric Brownian Motion?) inspired me to ask the following question: if we assume that regular returns could be normally ...
24 views

### Does annualizing daily returns make them more normally distributed? [duplicate]

Asset returns are usually non-normal because they are skewed and have fat tails. Does annualizing or downsampling daily returns (transforming a sample to a lower frequency, such as daily to monthly) ...
30 views

### 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, ...
471 views

### Any portfolio theories not based on asset returns?

For data, the mean-variance model for portfolio optimization uses asset returns to minimize portfolio risk (covariance matrix), which is asset returns volatility, and sometimes simultaneously ...
54 views

### Daily to Monthly Performance Attribution - Getting Effects to equal the Excess Return

I am building a performance attribution tool on Python to help us understand the asset allocation, stock selection effects of our fund. We are using daily price data for each component within the ...
60 views

### The ratio of upside deviation to downside deviation in portfolio weighting

I've been calling this ratio "acceleration" in my head, so I'll do the same in this post. The question is, is this relationship used anywhere and if so, how? My thought process is as follows. Risk ...
23 views

### Performance attribution of indices to their sector weights

Is it possible to attribute performance of indices (monthly returns and risk measures - Sharpe ratio, etc.) to their sector weights (if I know them)? Example: I know the monthly performance of ...
30 views

### Time and asset weighted rate of return of a portfolio

If I have a portfolio with 3 initial assets on day 1 (say, stock 1 with beginning market value of \$100, stock 2 \$150 and stock 3 \$175) and after 10 days the stock 2 is sold for \$200, how can I ...
45 views

### Replication of the paper: “A Comprehensive Look at the Empirical Performance of Equity Premium Prediction”

I recently replicated the paper "A Comprehensive Look at the Empirical Performance of Equity Premium Prediction" and found out that my estimation of the equity premium differs from the data provided ...
49 views

### How to compute return series for a German government bond with a 0% coupon?

Recently, the German government issued a long-dated bond with a 0% coupon. I'm trying to implement a historical VaR model and would like to know the best way to model the historical returns of this ...
174 views

### Distribution of simple returns vs logreturns

I understand that stock prices are conditionally modeled using a log normal distribution by the relationship $y_t/y_{t−1}∼logN(μ_{daily},σ^2_{daily})$ $y_t∼logN(log(y_{t-1})+μ_{daily},σ^2_{daily}))$ ...
74 views

### Portfolio & Asset Returns across Multiple Periods

The stocks of CK Tan's, Robertson's, and Tamashimaya are held by the hedge fund SSK. They hold an equally weighted portfolio. The end-of month prices of the stock during five months this year is given ...
39 views

### Calculating the fundamental value of house price to separate bubble component from the price

The bubble in asset price is defined as the deviation of the asset value from its fundamentals, empirically Mendoza and Terrones (2008) measure the bubble as the deviation of an asset price from the ...
93 views

112 views

### Why should we care if the “squares of returns are independently distributed over time” to choose an adequate model of the distribution of returns?

In a Time Series Book by Hashem Pesaran, he mentions that there are a number of issues that need to be addressed in order to choose an adequate model for predicting asset returns. I understand the ...
655 views

### Empirical distribution function of overlapping time series data

If we model asset return volatility for periods of more than one (say more than one day) there is the square-root rule which holds true under some assumptions. The situation is more tricky if we look ...
740 views

### Cumulative portfolio returns vs. product of cumulative asset returns

I wasn't able to find something that addressed this specifically with the search terms I was using, though I am sure an answer exists here. [Please reference the image below] Columns B & C are ...
353 views

### Private Equity: Direct Alpha vs Excess IRR

I'm trying to understand the advantages and disadvantages of using Direct Alpha versus Excess IRR for computing excess returns over a market index for private assets. Wikipedia references a highly ...
4k views

### Computing the Sharpe Ratio

The building blocks of the Sharpe ratio—expected returns and volatilities—are unknown quantities that must be estimated statistically and are subject to estimation error. The main problem I have is ...
176 views

### Modelling fund positioning using fund returns and linear regression

I want to measure the positioning of an active bond mutual fund vs. its benchmark via rolling linear regression of returns vs several factors. The intuition of using linear regression is that the ...
113 views

### How did Dimson, Marsh and Staunton (2002) computed the equity index annual real return?

I was trying to read the triumph of the optimist, but it was almost impossible to see a well-written formula to show how the returns have been computed. In a simple sense, I do not know how the annual ...
14k views

### What is the price pressure?

What is the definition of price pressure and what does it imply? In a number of paper I read that the price pressure can influence the portfolio returns; can you explain why and in which way it can ...
133 views

### Simple simulation model of bond plus cash returns

Is there a robust way to model 'bond plus cash' simulated returns, say in Excel, for an asset allocation problem between stocks vs bond plus cash? For equity, ...
105 views

### Significance of return under stable distribution

if I want to use t-test to test significance of my returns, it assumes the random variable is distributed normally. But in my work I work under stable distributed ...
858 views

### Back to Basics — Cumulative Returns

I recently came across a chart of Fama-French's (FF) HML factor cumulative performance. I first saw this in an article by AQR's Cliff Asness: http://www.institutionalinvestor.com/Article/3315202/Asset-...
1k views

### How to get get weekly returns from daily data

Good day I would like to get weekly returns data from daily data , I want to use the Wednesday-to-Wednesday approach – the returns (rt) are computed from the Wednesday closing prices Pt , i.e., rt = ...
2k views

### Trading days or Calendar days for Compound Annual Growth Rate?

When calculating CAGR for intervals shorter than a year (or intervals that are longer than, but not integer years in length), should you use the 252 trading days or the 365.25 calendar days? The ...
636 views

### How to simulate asset returns using student t?

I am currently trying to simulate an asset return using the student-t distribution, but I can't find how I should do this. I began with the Geometric Brownian motion and just changed in order that ...
41 views

### Polynomial interpolation of corrected lognormal distribution

Can anyone provide a formula for a polynomial interpolation of the corrected lognormal distribution used to model returns traditionally resulting from the wrong Brownian motion generated model? ...