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.

Filter by
Sorted by
Tagged with
2 votes
1 answer
805 views

T-statistics on monthly returns vs annualized monthly returns

eqI am very confused about a very basic question. This is probably more statistics than quantitative finance, but still, should be useful for this stackexchange board as well. Let's assume I have ...
phdstudent's user avatar
  • 8,198
1 vote
2 answers
7k views

How does one calculate carry-roll-down theoretically assuming expectations of short-term rates are realised

I am not asking for an explanation that is hugely quantitative, but rather one that is more intuitive. I am aware that there are different assumptions that one could take when it comes to carry-roll-...
junior_pm's user avatar
2 votes
1 answer
234 views

Covariance matrix for multiple assets - Second attempt

Ok, on the advice of administration I open a new question, hoping that in this way it becomes clearer. Like I said before, I am trying to understand how the authors of this (page 76) and this (page ...
user51121's user avatar
0 votes
0 answers
49 views

Prices and returns

I want to convert the payoff of an Asian and a lookback Call option with prices in their corresponding with returns. Example: for an European Call $\varphi(S_T)=(S_T-K)^+$, so knowing that $S_T=S_0(1+...
user51121's user avatar
1 vote
0 answers
73 views

How to calculate portfolio returns from assets with different valuation frequencies and return methdologies?

I have a situation in which I'd like to calculate a total portfolio return for a portfolio made up of funds with different valuation frequencies and return methodologies. As an example, say I have a ...
kforce's user avatar
  • 11
2 votes
0 answers
40 views

Boundaries on the single-period returns

I know that $e^{t\mu_{\operatorname{log}}-\Gamma\sqrt{t}\sigma_{\operatorname{log}}}\leq \widetilde{R}_t^S \leq e^{t\mu_{\operatorname{log}}+\Gamma\sqrt{t}\sigma_{\operatorname{log}}}$, with $\mu_{\...
Marco Pittella's user avatar
1 vote
0 answers
70 views

Please help me understand this dataset regarding stock prices

I am supposed to predict column E but I cannot figure out what any of these columns mean. The information provided with the dataset is as follows: column A: past 28 week slope value column B: past 48 ...
user3918807's user avatar
1 vote
0 answers
60 views

Relationship between risk and return for GBM and riskless bond

Suppose we have $S$, a stock following geometric Brownian motion ($dS_t = S_t (\mu dt + \sigma dZ_t)$ for $Z =$ Brownian motion) and $B$, a zero coupon bond with rate $r$, i.e. $dB_t = rB_t dt$. In ...
qp212223's user avatar
  • 170
0 votes
0 answers
43 views

Estimating the XIRR of a very non uniform cash flows

It's my second post, so please bear my lack of experience in this field. I've a very irregular cash flow (here you can see the set of date - cumulative cash flow) The XIRR, calculated with Excel, is ...
Revious's user avatar
  • 103
1 vote
1 answer
101 views

Event study using sector indices

Analyzing Covid-19's impact on different sectors I would like to use sector indices. Can you use CAPM or similar to calculate abnormal returns of indices or does it only work with stock prices?
Patrick's user avatar
  • 11
3 votes
0 answers
315 views

Does the Shannon entropy of stock returns change over time?

Shannon entropy, $H(X) = -\sum_{i=1}^n p(x) \ln p(x)$ is a probabilistic measure of randomness or disorder within a random variable's probability distribution or histogram. If we take rolling window ...
develarist's user avatar
  • 3,000
0 votes
1 answer
245 views

Using Taylor formula with logarithmic returns

I would like to calculate PnL scenarios for an FX portfolio using Taylor series approximation: $$ \begin{align} \text{PnL} \approx \delta \Delta r + \frac{1}{2} (\Delta r)^2 \Gamma \end{align} $$ I ...
user92234's user avatar
2 votes
2 answers
1k views

How to calculate monthly returns in R for every company in a dataset of 4000 companies?

I want to calculate monthly returns for a time series of 4000 companies between 2014 and 2019. This is how my dataset looks like I'm using the following code to calculate the returns nyseamex <- ...
Max's user avatar
  • 23
2 votes
1 answer
116 views

Correlation sensitivity in multivariate $t$-copula for portfolio VaR of electricity futures using Kendall's tau-$b$ correlation matrix

My t-copula model captures the daily dollar returns of a portfolio of approximately 400 assets. I am curious if there's a generally accepted way to quantify the sensitivity of portfolio movements with ...
CasusBelli's user avatar
0 votes
1 answer
140 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 ...
develarist's user avatar
  • 3,000
0 votes
0 answers
132 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 ...
joshi's user avatar
  • 101
1 vote
1 answer
258 views

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. ...
Plee's user avatar
  • 113
0 votes
0 answers
117 views

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 ...
JMK's user avatar
  • 13
0 votes
0 answers
89 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 $\delta t$....
noob-mathematician's user avatar
0 votes
0 answers
56 views

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 ...
hartmut's user avatar
  • 157
1 vote
1 answer
503 views

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 ...
develarist's user avatar
  • 3,000
2 votes
2 answers
159 views

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 "...
vpy's user avatar
  • 187
1 vote
0 answers
127 views

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 ...
Marc F's user avatar
  • 11
0 votes
1 answer
134 views

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 ...
develarist's user avatar
  • 3,000
3 votes
2 answers
275 views

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 ...
develarist's user avatar
  • 3,000
0 votes
1 answer
113 views

Which relation stands between IRR and the cumulative profits?

In the graph below you can see an irregular Cash Flow. The graph is cumulative, on the y axes there are moneys, on the x the dates. In the second graph the IRR (...
Revious's user avatar
  • 103
0 votes
2 answers
169 views

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 ...
unter_983's user avatar
  • 135
0 votes
1 answer
174 views

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 - ...
Nipper's user avatar
  • 359
0 votes
2 answers
583 views

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/...
JMK's user avatar
  • 1
0 votes
3 answers
621 views

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., ...
develarist's user avatar
  • 3,000
0 votes
1 answer
158 views

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 ...
johnCena12345678's user avatar
0 votes
1 answer
465 views

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, ...
AKP's user avatar
  • 73
0 votes
0 answers
70 views

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 ...
jitmanchan's user avatar
2 votes
1 answer
223 views

Is it always better to use the entire distribution of a financial returns series, 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 $\...
develarist's user avatar
  • 3,000
0 votes
0 answers
139 views

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 $$r_t = \frac{x_t - x_{t-W}}{x_{t-W}}$$ ...
Vivek Subramanian's user avatar
1 vote
1 answer
376 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,...
develarist's user avatar
  • 3,000
1 vote
1 answer
726 views

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: ...
MariaMadalina's user avatar
1 vote
0 answers
337 views

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 ...
nijshar28's user avatar
0 votes
1 answer
359 views

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 ...
Stat's user avatar
  • 141
0 votes
2 answers
216 views

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 ...
Luigi87's user avatar
  • 326
3 votes
2 answers
1k 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 ...
Jan Stuller's user avatar
  • 6,118
0 votes
1 answer
81 views

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 ...
Luigi D'Amato's user avatar
0 votes
0 answers
181 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 ...
Matteo's user avatar
  • 63
3 votes
0 answers
122 views

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 ...
DasBoot's user avatar
  • 141
1 vote
0 answers
92 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:...
Revolucion for Monica's user avatar
0 votes
1 answer
64 views

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, ...
George Kerwood's user avatar
2 votes
3 answers
2k 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 ...
financeapprentice1's user avatar
5 votes
1 answer
4k 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 ...
piper's user avatar
  • 151
0 votes
3 answers
179 views

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 ...
develarist's user avatar
  • 3,000
0 votes
0 answers
47 views

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 ...
antonio's user avatar
  • 253

1 2
3
4 5
10