Questions tagged [returns]

The asset rate of returns is the profit on a particular investment; it includes any change in the asset value, interest, commission or dividends and so, all other cash-flows which an investors receive or pays due to the investment.

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73 views

How to up-sample monthly returns into daily returns?

I know how to down-sample daily returns (large-sample data) to monthly returns (small-sample data) by using rolling windows, which feels like estimating a sub-sample from the population (something ...
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38 views

Cumulative returns from ROI of individual trades

I've a series of ROIs: $R(n) = [r_1, r_2, ... r_n]$ generated from taking $n$ trades. Each ROI value is in percent $[0, 1]$. How do I generate cumulative return $C(n)$ from this data? My understanding ...
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Calculating Dollar-Neutral Strategy Net Return

An example in the book, Quantiative Trading, the net return of a dollar neutral strategy of IGE and SPY is calculated. ...
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Inter-temporal structural stability of stock markets

For my bachelor thesis I am trying to determine structural stability of some stock market in the following way: Identify an ARMA model for the whole sample Split the sample in two parts, and estimate ...
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33 views

variance of asset returns linear for time

I am reading Wilmott's book, "Quantitative Finance" and try to understand the derivation that the variance of asset-returns, $V[\Delta S/S]$, is a linear function of the time step $\delta t$....
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internal rate of return ((M/X)IRR ?) of a fund

I have the following data for a fund. The contributions come from the LPs (i.e., the investors invest more in the fund, or withdraw money from the fund), MV stands for market value. The timing is not ...
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Calculation of 5-minute returns

My goal is time series clustering, I would like to compare 5 minute returns, liquidity seems to be very low sometimes, so is it better idea to calculate average volume weighted price in 5 minute ...
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Do EWMA weights remove autocorrelation in asset returns?

I know that the exponentially weighted moving average (EWMA) volatility estimator drapes a decaying weight function over historical returns in order to weight the past according to the decay of their ...
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Convention for computing returns on bond futures

From the CME website, we know that the contract unit for bond futures is "face value at maturity of $100,000". Which of the following is more appropriate the convention to compute "...
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Formula for coskewness and cokurtosis of LogN to project linear returns

I want to find the coskewness and cokurtosis of the multivariate LogN(mu, sigma) distribution from the moments of a normally distributed multivariate distribution (ie: log returns). These higher order ...
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How important is the chronological ordering of historical returns?

The returns of asset $A$ in chronological order are 0.03 0.01 -0.04 0.02 0.05 -0.10 0.02 The expected return, or sample mean, is $-0.00143$ while its sample ...
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Interpretation of a uniform asset return distribution

Typically asset return distributions are bell-shaped with most mass occurring in and around the center, 0% returns, and less so in the tails, with the left tail representing the probability of large ...
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Which relation stands between IRR and the cumulative profits?

(I'm not an english native speaker, neither an expert of finance, so for me it's quite hard to express myself in a proper way. If you want to correct me I really appreciate.) In the graph below you ...
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What kind of returns should I use for my model?

I'm building a machine learning model with the aim of learning a daily strategy of buy or sell the stock. I was wondering if I should use adjusted close price or something else to calculate returns (I ...
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Monte Carlo approach and methods for generating random returns

Recently I found myself reading more about Monte Carlo approach in m.v. portfolio optimization framework. I already discuss the topic on this forum (if interested please consider the following links - ...
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Calculating excess returns with 3M T-Bill

I have to calculate weekly log excess returns using the 3-month T-bill. However I am not really sure if I am doing this correctly. This is what I did: first I calculated the returns with ln(price/...
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Are cumulative returns stationary?

Log differenced returns, computed from stock prices, are known to be stationary. What about cumulative returns, are they also stationary? if not why not? Are there other properties, like non-i.i.d., ...
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How to deal with missing stock returns?

If I want to calculate the Covariance between two stocks but there are missing days in both, how can I deal with missing data? I want to use Pairwise deletion and only use the days of which both ...
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Calculate annualized returns and annualized volatility from monthly returns?

I have a dataset with monthly returns (In decimals) Jan-2008, Feb-2008 .... Dec-2008, Jan-2009 .... Dec-2017 This is what I have done, ...
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Excess Daily Returns to Excess Quarterly Returns

I am building a model which predicts the Excess Daily Returns over a time period. How do I convert these excess daily returns to excess quarterly returns? Should I just do an average of all the daily ...
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109 views

Is it always better to use the entire distribution of a financial dataset, not just mu and sigma?

In finance models that use historical returns for inputs, including option pricing models, forecasting and portfolio optimization, only the statistical moments of the returns distribution, $\mu$ and $\...
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Volatility of multimodal distribution of returns

Take $x_1, x_2, \ldots, x_T$ to be the price of a stock, indexed by $t=1, 2, \ldots, T$. Define rate of return at time $t>W$ for a window size of $W$ to be $$r_t = \frac{x_t - x_{t-W}}{x_{t-W}}$$ ...
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22 views

Portfolio models that maximize cumulative returns

Portfolio optimization typically looks at minimizing portfolio volatility, or maximizing the portfolio's Sharpe ratio (risk-adjusted return), but are there any recent, reasonable approaches to ...
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150 views

Why do cumulative returns have a bimodal distribution?

Regular returns (log-differenced prices) have statistical distributions that are bell-shaped and unimodal (one mode/peak) despite being non-normal and fat-tailed. Cumulative returns, on the other hand,...
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How to compute portfolio returns when constructing a dollar-neutral portfolio

I am trying to wrap my head around this statement: dollar-neutral portfolios are built: dollar amounts of both long and short positions are equal. Furthermore, it is also true at the stock level: ...
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How to annualize skewness and kurtosis of a forecasted distribution

I have a (non-normal) distribution of expected cumulative returns 10 quarters in the future, from which I have calculated mean, standard deviation, skewness and kurtosis. I would like to annualize ...
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Cumulative returns are more correlated than non-cumulative

I was just comparing two daily returns series and noted that the correlation between them is a lot higher if they are cumulated (about .95 for cumulative returns, vs .15 for non-cumulative). I feel ...
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Predict Log Stock Return Direction and Trading Strategy

The $k$ period log return is defined as $$r_{t}(k)=log(S_{t}/S_{t-k}),$$ Where $S_{t}$ is the stock closing price at time $t$. For argument sake, assume that by time I mean a stock trading day and ...
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Annualised returns and volatility for 3 month data

I have a portofolio with 30 indexes and I want to calculate the annulised returns and volatility because I want to compare it with another portofolio with different number of indexes (but same time ...
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193 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 ...
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Mutual fund performance over time

I am a little bit stuck with my dissertation thesis, so help will be greatly appreciated. I am trying to analyze the performance of different mutual funds, which I have classified according to ...
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How to simulate the cross-section

I am looking to simulate the whole cross-section of daily return series for 20 to 60 days. The purpose is to test some risk measures based no maximum drawdown. Thus, it needs the whole time series. ...
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120 views

Optimal predictors for 1-month returns

I am implementing a Random Forest classifier algorithm on Python for predicting future stock returns (one month). My goal is to foresee whether the cumulative returns in a month will be negative or ...
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Constructing a replicating portfolio of a long-only strategy using long-short factors

Lets say I want to estimate a replicating portfolio by doing a linear regression between the returns of a long-only portfolio and several long-short factors like Fama-French 5-factor or Betting ...
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PanelOLS or simple OLS?

It is probably a silly question but please assume the following. I gather hedge funds returns and I want to do a regression against few dependent variables (FF factors, etc.). In essence, I get a ...
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48 views

Get the weights of porfolio variance given standard deviation

I am trying to create a Simulated Portfolio Optimization based on Efficient Frontier on 50 stocks, which you can find the csv here. Yet it already takes me several minutes to get a suboptimal solution:...
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Is “time value of currency” to be accounted for in returns calculation?

A simple question: When exchanging currency in order to finance an investment, is it standard/best practice to adjusted for exchange rates when calculating the NPL of that investment? For example: I, ...
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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 ...
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118 views

The use of volatility from log returns and raw return

As far as I know, we usually use log returns( $ln\frac{p_{t+1}}{p_{t}}$ ) in quantitative finance. For example, let's say we have lots of monthly log returns data, $R_m$. Then, we can get the mean ...
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Does asset volume, rather than asset returns, predict performance?

Asset returns are the most common data type used in finance. They are derived from closing price data. Ordinary level 1 data for stocks not only consists of closing prices, but also gross volume ...
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Fama Foundations of Finance today

Which could be a recent equivalent of Fama's book Foundations of Finance? By "equivalent" I mean a book which is rigorous, but without being a book on stochastic calculus; which is focused on stock ...
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Results of Fama MacBeth regression

I have run Fama MacBeth cross section regression of of Excess Return of stocks on Idiosyncratic volatility, the log of market capitalization, book to equity ratio and Beta. I'm getting all significant ...
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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 ...
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Correct calculation of returns from a pairs trade

I am trying to understand how pairs trading works but I am confused about how to go about calculating the return on the pairs trade when I reverse my positions. I have been reading 'Pairs Trading - ...
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Stock returns: Exponential time decay

I am replicating some research that uses two years of single stock returns (i.e. N= 250*2= 500) and then applies an exponential decay with a half-life of one year to these returns. Does this mean ...
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is it possible to have a leverage ratio of less than 1?

I know you can leverage to be greater than 1, but is it possible to have less than 1? Like 0.5 for example? So that this scenario could be realized? ...
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How can I find the exit equity value from my dataset (please read description and see screenshot below)

I am investigating the returns of private equity using a public market equivalent (PME) and have been given a dataset from the that has provided us with the deal level IRR, the entry equity data and ...
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70 views

Compound the monthly returns to make them quarterly [closed]

How can someone make the Kenneth French library data returns quarterly from monthly? Since they are not loq returns, then you need to compound returns rather than summing them up. I want to make the ...
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How do I maximize my expected utility of wealth?

Suppose I have a utility function say $U(p)=p^{1/2}$ and I bet on a basketball game. I have my initial investment, payouts and probabilities of winning, how can I determine the maximum I need to bet ...
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How can a stock have negative returns but positive 3-factor alpha?

I've come across a research paper where for a specific period of time, the portfolio has negative returns (or roughly flat returns). During this same period of time, the portfolio's Fama-French 3-...

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