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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1answer
247 views

Parametric bootstrap in generating returns and hypothesis testing

I am trying to test a hypothesis of a statistic calculated from portfolio returns. To do so I estimate a model on the original returns series and want to obtain 100 bootstrapped series using ...
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1answer
40 views

Compute the risk measured by the standard deviations $\sigma K_1, \sigma K_2, \sigma K_3$, does this have to do with weights?

Compute the risk measured by the standard deviations $\sigma K_1, \sigma K_2, \sigma K_3$ for each of the investment projects, where the returns $K_1, K_2$, and $K_3$ depend on the market scenario: $$...
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1answer
26 views

Calculating the rate of return over a year then the data for a year before does not exist

I am trying to find the growth rate of a stock over a given year. Let's say I wanted to find the growth rate from today, June 11, 2015 to June 11, 2014. This is easy enough when you have perfect ...
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1answer
212 views

importing columns of returns data into python from excel/csv [closed]

I'm fairly new to the quant finance space, and I was hoping to get some guidance. Say I have a csv/excel file with columns of daily returns data for various asset classes or securities (one column per ...
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1answer
1k views

De-annualizing a target alpha return

apologies if this is not the correct place for this type of question, but I just want to confirm if the following de-annualization is correct. if a manager states that he will earn 200 bps of target ...
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1answer
92 views

Can you use a t-test on bootstrapped Value at Risk (VaR) figures?

I need to compare VaR before and after the recession. I have a series of market returns for a period before, and a series of market returns for the period immediately after. Both have been ...
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2answers
951 views

Problem when calculating the daily return on a forex trade, what is the best way to do such a calculation?

I intend to calculate the daily return on my investment in forex. Assume a trader invests $\$$40 at a leverage of 100:1, so in total he is trading $\$$4000 worth of currency, and assume the position ...
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2answers
539 views

How to classify stocks by their volatility?

I would like to hear other possible ways of classifying Stocks by the Volatility of their returns. Assuming that I want to characterize each stock as Low, Medium or High Volatility Stock and assuming ...
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1answer
78 views

Weighting several returns over different time frames

I have a set of annualized returns over 4 time periods: 10yr, 5yr, 3yr and 1yr. Is there a way to weight each return to have a "more representative" return?
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1answer
461 views

Event studies using revenue data vs. measuring abnormal returns

This may be a silly question, but does there exist a methodology for examining the impact of "events" on companies that are not publicly traded? I suppose it would look at abnormal revenues rather ...
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2answers
391 views

Portfolio risk-return when assets have limited and inconsistent historical data / time series?

Lets say we have "today's" snapshot of asset allocation and need to determine the 6mo, 1 yr and 5 yr risk and returns of this portfolio. If the time series for every asset is very long, longer than ...
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1answer
120 views

Limits analysis

I have a few time series of models to analyse in terms of how far/close they are to their underlying limit. The limit is a simple value on the y-axis (always positive), and the series can act ...
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3answers
1k views

How to annualize dividends paid at varying intervals?

I am attempting to write a function that will calculate the annualized rate of return for individual dividends made by illiquid investments. These dividends are paid at varying intervals and the ...
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0answers
66 views

Examining the dependence of the fractional difference parameter in ARFIMA(0,d,0) vs bar size for Realized Volatility

Realized volatility is a long-memory process and so I fitted an ARFIMA(0,d,0) to log(RV15) where RV15 is realized volatility calculated from 15-min bars. I proceeded to examine how changing the bar ...
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Matching periodicity Fama-French Factors, Portfolio Return and Risk Free rate

I am trying to replicate certain aspects of the following paper: "Does the stock market fully value intangibles? Employee satisfaction and equity prices" - Alex Edmans (2011) for three ...
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0answers
34 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_{\...
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62 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 ...
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0answers
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Is it possible to compute implied returns from volatility?

If we assume that, broadly speaking: Assets in liquid markets are fairly priced to its value Volatility is predictable (volatility clustering, GARCH, etc) Investors are rewarded and earn a return for ...
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378 views

Calculate the True daily Time Weighted Return

I have an access database with records of securities in my portfolio as well as my trades for each security. My aim is to calculate the "Daily Time Weighted Return" then down the line, export it and ...
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0answers
915 views

How does this return decomposition work?

http://image-src.bcg.com/Images/BCG-Value-Creators-2017-Appendix-July-2017_tcm9-166061.pdf The paper here decomposes total shareholder return into different components. Here is my derivation of the ...
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0answers
44 views

Understanding pooled VAR model

I encountered a paper by Vuolteenaho (2002) in which he uses pooled VAR model. I have some troubles understanding the idea. He uses firm level variables (log returns, ROE, etc.) and ultimately he ...
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0answers
430 views

kalman filter for a multifactor model in R

I am trying to set up a time varying factor model for the purpose of return decomposition via kalman filter. Following this example and slightly modifying it so as to accommodate for more than one ...
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1answer
805 views

How do you define returns when price may be negative (electricity price)?

I'm trying to model GARCH volatility on electricity prices. Typically the first step is to use prices to obtain log returns to make them stationary. I have encountered a small problem however: ...
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343 views

VAR models for log-returns?

I am wondering if Vector Autoregression (and other autoregressive models) is a sound modelling for the daily (not high-frequency!) log-returns of time series from liquid financial markets. One can ...
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0answers
2k views

How to calculate returns of backtested strategy?

Lets say I have some strategy (long/short) backtested for certain period. Strategy has entries/exits only at the end of the day and may have overnight positions hold. Now I would like to compare ...
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0answers
85 views

robust regions in grid search

I have a strategy f that takes parameters x,y (for x,y taking values in integer ranges). I get two grids (of returns and volatility values) from computing f(xi,yi) for integer ranges x1 <= xi <= ...
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293 views

trading strategy outperforms passive strategy in absolute terms, but in returns vice versa. how could this be?

Background: I want to compare two trading strategies in term of profitability. The red one is an active trading strategy, which involves many entry and exit to a specific market. The blue one is a ...
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82 views

Econometrics - Granger Causality

Suppose we have two time series, if one has autocorrelations and the other is non stationary how do we test whether they Granger cause a returns series?
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0answers
126 views

Insignificant or significant explanatory power over risk adjusted returns?

Currently iam working on my master thesis which is about risk adjusted returns in the Asia Pacific REIT market. The goal of the paper is to determine/find variables that conceive explanatory power ...
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0answers
122 views

% Return on backtest with variable positions and notional amounts

I have a 14 year backtest for a systematic strategy that uses a static notional per each position. On any given day I could have multiple positions long and short and notional long and short. How do ...
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0answers
87 views

FRA-Strategy: Make 3-month and 1-year Excess returns comparable

I am trying to analyze an investment strategy that tries to exploit the empirical difference between forward interest rates and realized spot rates. I am using FRAs to capture the difference. I am ...
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0answers
234 views

Probability Density of Returns of Bonus Certificates

Could anyone please help me with the following? I need to generate a histogram (resp. probability density) of returns of a bonus-certificate. A bonus-certificate can be replicated by an underlying ...
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3answers
360 views

Why can we assume that asset return rates are normally (or lognormally) distributed?

In many theories of financial mathematics it is assumed that asset return rates are normally distributed (e.g. VaR models) or lognormally distributed (e.g. Black-Scholes model). In practice, asset ...
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3answers
2k views

How to calculate standard deviation of continuously compounded four-year stock returns?

Currently I am preparing for quant interview and I encounter the following question in Heard on the street. Question: If the standard deviation of continuously compounded annual stock returns is $...
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4answers
7k views

Calculate weekly returns from daily stock prices?

If I have log returns for a specific stock, then the weekly log return is the log of Friday's closing price minus the log of Monday's closing price, i.e. $R_{weekly} = log(Price_{Friday}) - log(Price_{...
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2answers
10k views

Calculating log-returns across multiple securities and time

I've been getting very confused on the topic of calculating returns. To get cumulative returns in time, log-returns are used, but apparently log-returns aren't used across different securities at a ...
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2answers
105 views

Using central limit theorem to test whether population average return is the same, before and after the recession

This is the task I have been asked to do. I've read up on what central limit theorem (clt) is, but I feel like I'm missing something. The data I have is a matrix of monthly stock returns from 50 ...
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1answer
112 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. ...
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2answers
364 views

Intuitive explanation of geometric mean

Suppose that the 10 Year Treasury Yield Rate varies every trading day during the year X1 (which in practice is accurate) what is the intuitive explanation behind calculating the geometric mean using ...
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1answer
1k views

average return Vs cumulative return interpretation

I am looking for the interpretation which distinguishes between average return and cumulative return. I have two portfolios : the average return of portfolio 2 = 3 10E-4 per day while the average ...
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3answers
940 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 ...
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1answer
191 views

What is, here, the relationship between "compound" and "arithmetic return" and "volatility"?

I'm trying to find the exact (ie, not an approximate) relation between the "Compound Return", "Arithmetic Return", and the "Annualised Volatility" as given the assumptions below, and from there the ...
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2answers
234 views

Volatility Index for Industries

The VIX index is based on the S&P, I am wondering the feasibility of creating a VIX index for each of the S&P 500 Industries? Would this even be possible?
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3answers
5k views

Predicting stock returns with GARCH in Python

I have seen this post: Correctly applying GARCH in Python which shows how to correctly apply GARCH models in Python using the arch library. Now I am wondering how I ...
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1answer
810 views

Pandas: Close-to-Open return on stocks

I am trying to daily calculate the close-to-open return for j stocks for t days. Is there anyway I can calculate without using a for loop? I have one Dataframe for daily close prices and one for daily ...
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1answer
364 views

portfolio returns when portfolio value is negative

I am being very stupid probably but I don't understand the following. Portfolio 1st Jan valued: -$100 A month later Portfolio 1st Feb valued: -$45 I calculate the return of the portfolio as, <...
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1answer
6k views

What are DGTW adjusted returns?

Many papers, e.g. in The Journal of Finance, discuss DGTW adjusted returns (or DGTW abnormal returns) instead of just returns. What are these and how does one compute them?
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1answer
237 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 ...
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1answer
249 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: ...
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1answer
69 views

Derivation of the formula for $m$ compounding periods per year: $(1+\frac{i}{m})^{mt}$

A dollar return with interest $i$ invested for $T$ years with compounding interest frequency of $m$ times each year is: $$1*(1+\frac{i}{m})^{mt}.$$ My Question Why do we divide $i$ by $m$? Is this ...

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