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Optimized Method to Calc Real Rates of Return From Monthly Nominal Rates

I wrote the following VBA code to calculate real rates of return using Robert Shiller's dataset: Note: This calculation is for forecasted returns so I have no prices available to do the calculation by ...
bill smith's user avatar
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26 views

Calculation of daily dividends from total return index data

I have a question regarding the inclusion of dividend payments in total return indices, but I have no background in finance, so I'm hoping someone here can help me out - any help is highly appreciated!...
user20880144's user avatar
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Cumulative returns when shorting with regards to variance drag

What is the convention when calculating/analyzing daily returns for a strategy when shorting is involved? I found the following answer regarding variance drag useful in understanding why there is a ...
mimi's user avatar
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-1 votes
1 answer
56 views

Am I able to find individual returns from total weighted average of returns? [closed]

As titled states… I am trying to figure out how to solve for individual return given average weighted total return and weights of individual returns? For example: 2% = (r1 x 0.2) + (r2 x 0.5) + (r3 x ...
quant4u's user avatar
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2 answers
10k views

How to calculate the log return of portfolio?

Suppose that we have five trades each day with these returns ($R_{day,trade}$) and we have 300 days in total: $R_{1,1}$, $R_{1,2}$, $R_{1,3}$, $R_{1,4}$, $R_{1,5}$ $R_{2,1}$, $R_{2,2}$, $R_{2,3}$, $R_{...
user2991243's user avatar
0 votes
1 answer
161 views

What are the most common methods to model fat tails in the changes of asset prices?

I was wondering what the most common, or most popular, ways - in both academia, and industry - there were to model the fat tails of volatility in asset prices changes. I am presuming a basic Brownian ...
Tristan's user avatar
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-2 votes
1 answer
402 views

How to calculate return on a series of long position for each price point

The return between two price points can be calculated as Price(present)/Price(previous) -1 Or, it can be expressed as ...
isnvi23h4's user avatar
  • 125
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0 answers
71 views

Does the interval of a portfolio's returns affect Sharpe and Sortino? If so, what's the gold-standard interval?

I'm currently creating a backtesting script and I've got to the point of calculating risk metrics. It seems like the interval (daily, weekly, or monthly) I use for returns heavily changes the ...
Alex Vale's user avatar
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1 vote
1 answer
339 views

Fat tailed can be estimated through a t-distributions?

I have a simple question that makes me doubt a bit. In a multiple choise exam I ecountered this question: "if the stocks returns are not normally distributed, the fat tail effect can be estimated ...
gabriele's user avatar
1 vote
1 answer
76 views

Measuring extra return investors demand for a stock which cannot be sold?

How to roughly measure how much premium investors would demand if a stock could not be sold and its investors had to stick with it permanently using just dividends not capital gain as return? I am not ...
Soroush Kalantari's user avatar
3 votes
2 answers
105 views

Expense ratio over time

I'm trying to reproduce the results in the table below from this article of Investopedia, but none of my calculations match. What is the correct way to calculate the expense ratio in this case?
rmorel's user avatar
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3 votes
2 answers
422 views

Why in Fama-French factor model relative market capitalization and book-to-market aren't used directly for predicting return rate?

Fama and French use the following formula for predicting stock returns \begin{align*} r=r_{riskfree} + \beta_1(r_{market}-r_{riskfree})+\beta_2(SMB)+\beta_3(HML) \end{align*} which basically means ...
kandi's user avatar
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0 answers
51 views

Real domestic return

I would like to calculate the real domestic return of a foreign asset What I know Real price is $$P_{Real, t} = \frac{P_{Nominal, t}}{CPI_t}$$ where CPI is consumer price index. And I know that the ...
1190's user avatar
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1 vote
0 answers
255 views

Calculating returns from transactions

I have a collection of client transactions representing the trades of a single portfolio across multiple securities. What I'd like to do is the calculate the accurate ROI of each security and of the ...
user1467422's user avatar
0 votes
1 answer
386 views

Calculate weight of an asset

Suppose there are three assets, and the first asset has volatility 18%, the second asset has volatility 16%, and the third asset has volatility 16%. Suppose also that the first two assets' returns ...
Effective Learning's user avatar
-3 votes
1 answer
105 views

Should stock return series be modeled with a parametric distribution, or an autoregressive function? [closed]

If I have prior knowledg that a stock return series follows a parametric distribution, such as a Student t-distribution with 4 degrees of freedom, without actively looking for prior knowledge of ...
develarist's user avatar
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0 votes
1 answer
139 views

How do you simulate returns for a portfolio when you have Lumpsum + Monthly investments (SIP) in place?

I'm trying to simulate portfolio returns using Norm.inv function in excel. Inputs to the formula: Prob= Rand, Std dev= Historical, Mean= 5 year historical average. Its easy to do this when you're ...
Swaraj_r's user avatar
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0 answers
518 views

What should degrees of freedom $\nu$ be set to when modeling financial returns that follow the t-distribution?

The closer the t-distribution degrees of freedom ($\nu$) is to 0, the more heavy are the tails, whereas high degrees of freedom recovers the normal distribution. In finance, what value is usually used ...
develarist's user avatar
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1 vote
1 answer
115 views

Clustering the observations in a price or returns series [closed]

Given one stock, what value would there be in clustering the individual sample observations within that stock's historical prices series, or its return series? is univariate clustering done in finance?...
develarist's user avatar
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0 votes
0 answers
76 views

Does the $t$-copula or Clayton copula capture the dependence structure of empirical returns better?

Which copula captures the dependence structure of empirical asset returns better? the $t$-copula, which has symmetric tail dependence, or the Clayton copula, which has asymmetric tail dependence, and ...
develarist's user avatar
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1 vote
0 answers
757 views

Source on multivariate correlated geometric Brownian motion returns, not prices

Can anyone provide a source that formulates how to generate multivariate geometric Brownian motion returns using the Cholesky method with target correlation matrix, instead of correlated GBM prices? ...
develarist's user avatar
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0 votes
0 answers
35 views

Are the correlations of multivariate stock prices preserved when converted to multivariate returns?

If data for multiple stock prices has a specific correlation matrix, is the correlation matrix preserved when those prices are converted to multivariate log-differenced returns?
develarist's user avatar
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3 votes
1 answer
353 views

Why does the likelihood of corner solutions in portfolios increase as the number of assets grows?

A three- asset portfolio doesn't seem prone to generating corner solutions, which are very high allocations to one of the assets and $0$ to the others. Instead, when the number of assets is low, these ...
develarist's user avatar
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4 votes
3 answers
525 views

Asset Allocation with near zero rates

With central banks pegging interest rates to near zero rates, an argument could be made that the future distribution of interest rates and bond returns are not normally distributed. How has modern ...
AlRacoon's user avatar
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3 votes
2 answers
3k views

How to annualize the correlation matrix?

If asset returns are daily, and the asset return covariance matrix, $\Sigma$, is annualized by $\Sigma \times 252$, do I also multiply the correlation matrix by 252 to annualize it?
develarist's user avatar
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1 vote
1 answer
521 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
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3 votes
2 answers
279 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
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1 vote
1 answer
76 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 ...
Vinícius Lopes Simões's user avatar
0 votes
0 answers
66 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, ...
Jeremy's user avatar
  • 101
1 vote
1 answer
925 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 ...
develarist's user avatar
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0 votes
1 answer
229 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 ...
develarist's user avatar
  • 3,000
1 vote
1 answer
150 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 ...
develarist's user avatar
  • 3,000
1 vote
1 answer
49 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 ...
develarist's user avatar
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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
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0 votes
1 answer
132 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, ...
develarist's user avatar
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1 vote
3 answers
545 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 ...
develarist's user avatar
  • 3,000
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
1 vote
1 answer
270 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 ...
user46252's user avatar
1 vote
0 answers
62 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 ...
Ken's user avatar
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0 votes
1 answer
128 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 ...
Paul 001's user avatar
0 votes
0 answers
141 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 ...
Koval  Boris's user avatar
1 vote
0 answers
57 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 ...
equanimity's user avatar
1 vote
1 answer
147 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 ...
SMLJKNN's user avatar
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1 vote
0 answers
48 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 ...
Ameer's user avatar
  • 21
1 vote
1 answer
164 views

Jensen’s Inequality for returns on short positions

this is puzzling me. Say you have an asset A, that on day t+1 returns 1%, and then on day t+2 returns 1% again. If you invest $1 in A on day t (take a long position), then on day t+2 you have earned:...
Nulife's user avatar
  • 13
1 vote
3 answers
906 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 ...
B_B's user avatar
  • 83
0 votes
0 answers
45 views

How to compare performance of a German stock

How would you compare the performance of a German stock listed in DAX? I heard many use Euro Stoxx 50. But wouldn’t be the obvious choice to use the DAX? Also, would you use DAX INDEX or DAX FUTURES?
Diamir's user avatar
  • 109
3 votes
2 answers
615 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})$ $y_t∼logN(log(y_{t-1})+μ_{daily},σ^2_{daily}))$ ...
Sanju's user avatar
  • 39
1 vote
0 answers
235 views

Fama-Macbeth with Liquidity Sorted Portfolios

I'm currently working on a paper in which I'm trying to see whether the liquidity premium is an observable phenomena when taken into the context of computer games. From my research online I've found ...
Menno Van Dijk's user avatar
4 votes
4 answers
1k views

Central limit theorem and normality assumption of asset return distribution

Can central theorem justify normality assumption of assets return distribution? And if it can why the empirical evidence show this assumption, which many finance models are based on, is a far cry from ...
Soroush Kalantari's user avatar