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
1
vote
2answers
6k 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 ...
1
vote
1answer
50 views

When modelling ARCH/GARCH effects, do we use excess returns?

When modelling ARCH/GARCH effects, do we use excess returns? Is it common in the literature to use excess returns when modelling volatility as opposed to raw return data?
1
vote
1answer
97 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 ...
1
vote
2answers
114 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?
1
vote
2answers
105 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 ...
1
vote
2answers
5k 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_{...
1
vote
1answer
89 views

Geometric Returns values less than -100%

I am trying to find the geometric return for semi-annual log-returns in Excel. However, I do not know how to handle values less than -100%.... ...
1
vote
1answer
4k 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?
1
vote
2answers
74 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 ...
1
vote
1answer
298 views

What is the Probability Distribution of Max-Drawdown?

How to obtain the probability distribution of Maximum Drawdown, starting from the probability distribution of Daily Returns? Here the details: Suppose I have a time serie of N=1000 daily returns. ...
1
vote
1answer
77 views

What are the units of the variance of returns?

I am a little confused about the units of the variance of returns. One way to compute that would be to look at the units of returns- $$r=\frac{1}{\Delta t}\ln\frac{P(t+\Delta t)}{P(t)}=\text{...
1
vote
1answer
174 views

Should log returns be used in multilinear regressions?

As the title already says, should log returns, instead of simple returns, be used in regression analysis? In this case, I want to analyse the impact of specific factors (Dividend yield etc.) on the ...
1
vote
2answers
103 views

Does forecasting asset returns by default assumes non-stationarity of asset returns?

If we assume the assets returns are stationary then the best forecast can only be the mean of the distribution. But if we assume non-stationarity we are forecasting the mean parameter (assuming ...
1
vote
1answer
727 views

How does one create an alpha signal

I am curious and want to do some personal research into alpha signals, but I couldn't find much relevant information. What I think will be the way to is to start with a return series, build a long- ...
1
vote
1answer
57 views

Adjust regression for thin trading

What procedures can I apply to control in a regression on company returns for thinly traded stocks? Is the inclusion of the SMB-factor a potential approach? Or just a dummy variable indicating if a ...
1
vote
1answer
55 views

Return On a Spread

This is a beginner level question. I have a $spread = aluminium - 0.7*lead $ $s = a - 0.7*l$ I have two methods to calculate return on this spread: $ return = (s_t - s_{t-1})/(a_t + 0.7*l_t) $ ...
1
vote
1answer
79 views

Calculate New Portfolio Weights Given Today's Returns

I'm looking for a formula to recalculate my portfolio's weights at the end of time $T$, given a vector of the asset weights at $T$ and a vector of returns at $T$. For example: ...
1
vote
1answer
59 views

In search of nice (approx) function forms of the volatility of cumulative simple returns

Let's consider a period $t\in[0,T]$, and let the simple return over year $t$ ($1\le t\le T$) be $r_t$. Assume $r_t$ are iid normal. The cumualative simple return over the whole period $[0,T]$ is $$R_T=...
1
vote
2answers
82 views

Short position returns with negative NAV

I am using data on the opening, change and closing of short positions, but I am interested in when the profit/losses are made. Hence, I calculated daily the value of the short position by taking the ...
1
vote
2answers
1k 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 ...
1
vote
1answer
49 views

How does inflation impact stock returns? Academic examples

For a literature survey in my university class, I have been asked the question "How does inflation impact stock returns?". After reading some informal articles (in periodicals/ the general internet), ...
1
vote
1answer
391 views

Empirical duration and convexity for bonds using linear regression

I have a given time series of bond yields from Quandl. From the time series, I have taken a sample to simulate a path of bond yields by Monte Carlo in Python. I have to do the following task: "...
1
vote
2answers
107 views

Price is Log-normal distributed, yet the return is non-normal

I have a price series. The natural logarithm of the price shows good normality. As shown in the standardized normal probability plot below: However, by viewing the standardized normal probability ...
1
vote
1answer
338 views

What are necessary adjustments to returns in CRSP?

I guess this is a pretty straight forward and basic question. I am using the entire CRSP universe from 1962-2016 and my goal is to replicate a research paper. However, I realized that the average (...
1
vote
1answer
391 views

Getting monthly return using quantmod, if input ticker is a variable

I am new to package quantmod and quandl. I encountered a problem while I was trying to fetch period return data. Below is my ...
1
vote
2answers
241 views

How do I estimate the volatiliy of my portfolio with an estimator that requires High, Low, Open, etc

I have obtained the daily returns of my portfolio $R^{port}_t$ using a certain strategy. Now I want to estimate the realized volatility $\sigma^{port}_t$ using the past 60 days. An obvious way to do ...
1
vote
1answer
492 views

Calculation of dividend yield from index returns

For a research project, I need to find or calculate dividend yield for all the index of major countries in the world (e.g: s&p500,DAX,CAC40 and so on), and I am struggling a bit with it. I cannot ...
1
vote
1answer
3k views

Calculating the returns of a long/short strategy

I feel like an idiot asking this but i haven't found the answer anywhere. I have backtestest a paris trading strategy, while calculating the returns of the strategy I run into some problems when the ...
1
vote
1answer
102 views

Return on investment in spreads

I have a hard time getting my head around this. Let's say you have a strategy that consists in buying one future spread, for instance CL Z7-Z8 (crude oil dec17 minus dec18). It's easy to calculate the ...
1
vote
1answer
355 views

What is the logic behind this backtesting code in R

I am new to R and I have found this simple backtesting code and can you explain me what is happening here. ...
1
vote
2answers
2k views

Correlation between S&P500 returns and 10y US Treasuries yields

I'd like to investigate the comovement of stock index returns with bond yields but I don't know which return's duration to use (1-year, 1-month or anything else) to get a better view of the ...
1
vote
2answers
83 views

different amount of information on return correlations from shorter and longer periods?

I want to calculate annual excess returns on portfolios using monthly (total) returns for a CAPM (for the assets in the portfolio as well as for the benchmark), in order to have more information on ...
1
vote
1answer
796 views

T-note returns from T-note yields … derivation of Damodaran's formula

Damodaran's historical data on 10-year T-note returns (found here) uses the following formula to calculate the 1-period total return on a T-note ($R_1$) given the 10-year constant maturity yield-to-...
1
vote
1answer
45 views

ETF performance/returns

I was going over some ETF return data on yahoo finance and encountered some numbers that did not make sense to me. The image below shows a ytd return of 17.94% and 13.52%. I checked ETF.com and ETFdb ...
1
vote
1answer
52 views

Proof that IRR(A) < IRR(A+B) < IRR(B) ? Ie that the IRR of two cashflows together must be within the range of the IRR of the two cashflows?

The question The IRR of two sets of cashflow is not (necessarily) the weighted average of each set of cashflows. E.g. if ...
1
vote
1answer
77 views

Ljung_Box Statistic of R and R^2 values in Return analysis

I have found a result that I find truly puzzling. Here is an extract from a GARCH-Analysis I have performed: Test______________Statistic_______p-Value Ljung-Box Test_____R Q(10)_____0....
1
vote
1answer
305 views

Granger causality with stocks and CDS

I would like to take a closer look at stock prices and CDS spreads of different entities. Because both of them are nonstationary in levels, I use log stock returns and the first difference of the CDS. ...
1
vote
1answer
176 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: ...
1
vote
2answers
747 views

How to adjust regression for rolling returns?

I have a predictor variable (x) and dependent variable (y). Both are monthly rolling annualized returns, which naturally induces significant autocorrelation in x and y. They both also fail to be ...
1
vote
1answer
35 views

any ideas how to get missing returns for german governement bonds, maturity bucket 10+

I am looking for a way to extrapolate monthly government bond returns (total return index) that are not available on datastream for the bucket of 10+ (maturities of 10 years and above). For the 4 ...
1
vote
2answers
4k views

IRR of IRR or weighted average of IRR

I have a list of investments with their expected IRR(Internal Rate of Return). I'm confused about which is the right metric to depict for my population: IRR of IRR or weighted average of IRR. It's ...
1
vote
1answer
168 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 ...
1
vote
1answer
429 views

Calculate total risk [closed]

I have a question regarding how the risk is calculated, if I have only the returns. I think the risk premium (rp) is just the average of the returns and the sharpe ratio is the risk premium divided by ...
1
vote
1answer
414 views

Differences between dummy regression event study and regression on residuals from market model

I have two different event study approaches and I wonder if the results are exactly the same. Model 1 applies a dummy regression market model: (1) $R_{t}=\beta_{0} + \beta_{1}R_{mt}+\beta_{2}D_{t}+\...
1
vote
1answer
50 views

Testing day of the week effect

I am currently reading a bit about testing day of the weeks effects. I saw two different model specifications and wonder how to interpret the results. The first model type includes only 4 dummies for ...
1
vote
1answer
584 views

How to calculate returns and sharpe ratio for futures?

What is the industry standard way to calculate returns, which will be used to calculate sharpe ratio for e-mini S&P500?
1
vote
1answer
8k views

How to calculate annualised tracking error?

I have 36 months of relative returns and I need to calculate the annualised tracking error. So, using 36 months of returns is it simply like below: ...
1
vote
1answer
24 views

Measure difference between estimations and historic returns

For every day in a year, I have the return on an asset and the CAPM estimation for the return. I want to measure the average difference between the set of returns and set of estimations. So far, I ...
1
vote
1answer
171 views

How to model the effect of earnings surprises on long-term returns?

I'm looking into modeling the relationship between EPS announcement surprises with long-term returns (1 quarter to 3 years with intervals). I've based my current methodology off papers looking at the ...
1
vote
1answer
139 views

right benchmark for an incompletely diversified international portfolio (for a CAPM): MSCI World or MSCI ACWI IMI?

I want to calculate annual excess returns on portfolios using monthly returns for a CAPM (for the assets in the portfolio as well as for the benchmark), in order to have more information on the ...