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Questions tagged [time-series]

A temporal sequence of events measured at discrete points in time.

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13 views

Cointegration between daily time series and intraday time series

I am working with time series data of daily prices, and intraday prices. For simplicity sake I will refer to the daily time series as 'A' and 'B', and the intraday time series of the same instruments ...
-4
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0answers
26 views

Granger causality, Impulse Response Function, Vasicek model, GMM [closed]

Hi. I want help with the following questions for my final exam. This is past exam questions. Thank you! I look forward to any kind help!
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1answer
53 views

How can currency (USD/TRY) be going up without having a candle before that would close under it?

I am having a hard time understanding how can USD/TRY be going up without having a period before that would close at a point under it. This is from today (2018-10-08 6:12 and 6:50). Is it moving up ...
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0answers
63 views

Why does computing correlation between index levels vs. percentage changes yield completely different results?

I am examining the relationship between the S&P 500 and the Industrial Production Index. Computing the correlation between these these variables yield vastly different results if expressed in ...
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0answers
15 views

suggestion for NDX volatility index prior to 2000

NDX index is available since 1984 in Bloomberg. There's VXN index that represents the implied volatility of NDX, which is available since 2001. I need some index or series that represents implied ...
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0answers
24 views

How to create a sample and hold signal in R

I would like to create a sample and hold signal (a flag) in R from a (financial) time series objekt. Like the sample and hold function in Matlab. The Sample and Hold block acquires the input at the ...
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1answer
77 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. ...
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0answers
62 views

Comparison of normalization methods on market returns

I am looking to use a multi-factor model to make target-return predictions. Since the factor-returns come from different scales I need to normalize first. There are different ways to normalize ...
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1answer
62 views

A question about stationarity and ergodicity

Given daily returns of a stock index over 50+ years, a homework question asks: Plot the annual sample mean and variances of the returns and their absolute values. Are these estimates in agreement ...
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22 views

Forecasting time series data using auxiliary information and associated questions

Suppose I want to forecast MSFT time series, using MSFT history as well as SPY history. Are there good time series forecasting methods that permit auxiliary data to be used? Perhaps you should just ...
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0answers
30 views

Overlapping Data

I have a daily time series data spanning over 22 years. I need to compute some meaningful yearly standard deviation statistics / generate probability distribution and estimate tail risk. 22 years ...
1
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1answer
73 views

Understand the white noise condition in Vector Autoregression

In the following vector autoregression model with lag polynomial representation: $$\Phi (L) y_t= \epsilon_t$$ where $Y$ is the vector of endogenous variables, $\Phi$ is the parameters matrix, $\...
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3answers
70 views

Filling a few missing data in time series?

I'm writing a paper about Uncertainty indices like VIX, etc. I already collected all data but it seems that some of the variables got a few or a little more missing data. I have daily and monthly data ...
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2answers
150 views

Does predictability in a VAR process imply mean reversion or momentum?

There seems to be some disagreement in the literature about this. Define predicability of a stationary series to be $\sigma^2_{t-1} / \sigma^2_t$ Finding mean reverting portfolios using canonical ...
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1answer
39 views

How to calculate RSI while considering market close and holidays?

I was trying to calculate RSI over hourly OHLC bars for a symbol (AAPL as an example) and got stock, first how should I handle closing hours? (does it make sense to ignore them all together and assume ...
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1answer
84 views

Which method would you use to compare if a time series of financial returns has more “clusterized volatility” than another?

It is known that the historical series of financial returns are characterized by the so-called volatility clustering. Suppose we approximate the number of two-type clusters, namely the high and low ...
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0answers
67 views

Are ACF and PACF plots of squared returns useful in determining the lag-order when testing GARCH class of models?

I am trying to fit GARCH class of volatility models to the log return series of Bitcoin. ACF and PACF plots of the square of this return series are shown below. I need to know whether inferences can ...
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1answer
107 views

How to deal with missing value in a time series stock market data?

I have collected data for the period of 2002 to 2018 for following indices Nifty (India), NASDAQ (US), ADX (UAE) and TASI (Saudi Arabia). After collection, I have arranged data in a single sheet with ...
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1answer
70 views

What is the optimal approach to “backcasting” alternative asset classes (i.e. PE, Hedge Funds, Real Estate)?

I am interested in coming up with better risk calculations for alternative asset classes. As these are illiquid, not a lot of historical data is available. My idea is to use performance of stocks ...
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0answers
28 views

Finding the distribution and moments of returns with GARCH models (in R if possible)

I understand the GARCH type models and I know how to fit a model to a time series. But, there is a paper which calculates the moments of the distribution of returns (Variance, Skewness, and Kurtosis) ...
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2answers
31 views

Significance Of Missing Data for RMSE Estimation

I have a time series covering ten years of daily close prices, which I compare to a theoretical time series generated by a model. The original series has a handful of missing data points (~2%), some ...
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1answer
44 views

QQQ fillings history

I'm trying to find Invesco QQQ Trust fillings for 2001-2018 time period, at least top 10 by year, do you know where I should search?
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0answers
36 views

Joint hypothesis tests

When running regressions, $$Y_t=\alpha+\beta_{9}x_{9,t-1}+\beta_2x_{2,t-1}+\beta_3x_{3,t-1}+\beta_4x_{4,t-1}+\varepsilon_t (1)$$ $$Y_t=\alpha+\beta_1x_{1,t-1}+\beta_2x_{2,t-1}+\beta_3x_{3,t-1}+\...
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1answer
28 views

Deriving the long-horizon predictive regression and hypothesis testing

I am working on the long-horizon regression, $$y_{t,K}=\mu+\beta_1x_{1,t-1}+...+\beta_nx_{n,t-1}+e_{t} $$, where $$y_{t,K}=y_{t}+y_{t+1}+...+y_{t+K-1}$$ and there can be multiple x's. So I am ...
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0answers
46 views

What is a momentum portfolio? How can I create one?

What is a momentum portfolio? How can I create one? How can I test if momentum in one portfolio drives momentum in another portfolio. Any useful references.
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0answers
78 views

Simulation of a DCC-GARCH

I want to simulate some exchange rates with a DCC GARCH. I know the package rmgarch but I want to code the simulation my self. The following are the main equations ...
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0answers
54 views

Constrained Optimization for performance attribution

I am trying to perform constrained opmitization for portfolio performance attribution analysis. Specifically, I am trying to determine the impact of sectors performance on the S&P 500 index. Min ...
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1answer
39 views

EWMA Volatility vs Volatility of EWMA

Is taking the standard deviation of a EWMA smoothed series equivalent to getting the EWMA volatility for that series?
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0answers
56 views

Discretizing a Continuous Time Stochastic Volatility Model

Forgive me for cross-posting. I have the following continuous time SDE for a stochastic volatility model. $S_t$ is the price, and $v_t$ is a variance process. $$ dS_t = \mu S_tdt + \sqrt{v_t}S_t dB_{...
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0answers
39 views

Correlation between a sector and MSCI ACWI returns

I have daily return data of 11 sectors of MSCI World Index and the MSCI ACWI index. I want to know the stationarity of correlations between the sectors and MSCI ACWI index. This is what I have done: ...
3
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1answer
241 views

Absorption ratio by Mark Kritzman

In Principal Components as a measure of systemic risk, the author Mark Kritzman defines absorption ratio (AR) as the fraction of the total variance of a set of asset returns explained or absorbed by a ...
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1answer
84 views

correlation in time series analysis

the goal of my research is to analyze if one variable X follows the movement of another variable Y over time. Meaning that Y is slightly ahead of X. The number of observations in each time series is ...
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0answers
56 views

volatility for multiple time series

I have time series data for a total of 4 stocks and want to analyze the volatility of those. Moreover I want to demonstrate that they have the same volatility. As a response variable I would use log ...
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0answers
29 views

Does it make sense to simulate from the multidimensional GBM?

Suppose I have times series data on 3 assets and I do $N$ simulations (GBM) first for each of assets individually and then from a multidimensional GBM since their log-returns are correlated (I use ...
4
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2answers
103 views

Lagged Residual as Independent Variable

I am building a factor model to estimate future equity returns. I'd like to include an autoregressive residual term in this model. I'd like to have yesterday's error (the difference between yesterday'...
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0answers
52 views

Monte Carlo Simulation of correlated returns based on different frequencies

I am simulating through Monte Carlo, multivariate correlated returns of different products composing an Oil&Gas portfolio. The historical prices (from which I computed the log-returns) of the ...
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0answers
29 views

Negative abnormal stock return and permanent impact

Assume we have a day where stock price falls many standard deviations of the mean (e.g >3) . How could we test, in terms of time-series, if this negative shock is permanent or deminishes in the long ...
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0answers
38 views

How to find the maximum clean price during lifetime of a bond

I'm trying to find a solution to following question: If I'm buying a bond and assume an upward sloping yield curve, than this bond will (under certain circumstances) experience price gains during his ...
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2answers
301 views

R: optimize timeseries to minimize “integral”

What I am looking to do is: for a given time-series $P_t$ (which will be constructed from different timeseries itself): $P_t$ = $\beta_1$$I_t^1$+$\beta_2$$I_t^2$+$\beta_3$$I_t^3$ $\qquad$ ($I_t^i$ ...
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1answer
80 views

Collect all stock returns in one single matrix using quantmod in R

My problem is similar to the one in this question: how do I loop through all the stocks with quantmod and ttr? To estimate the covariance matrix of stock returns, I need a $NxT$ matrix $X$ of returns ...
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1answer
32 views

Recreating / Extending Bond Time Series

I am trying to analyse historical yield curve dynamics within an across countries and step one is extending / recreating historical yields and/or prices. The challenge is this: lets say a 10 year ...
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0answers
62 views

What is the purpose of short rate models?

Just venturing into quantitative finance and studying short rate models (Vasicek, CIR, Hull-White etc.). Wanted to ask a very simple intuitive question. How would a practitioner use these models? I ...
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1answer
30 views

Drop weekend data Vs fill weekend data for GARCH-type modelling

I have a dilemma for an analysis I'm currently on. I doing some GARCH modelling of bitcoin and a fiat currency. There are some null values with the fiat datasets in comparison with bitcoin data as ...
4
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1answer
106 views

Hansen and Jagannathan distance

Hansen and Jagannathan distance, or HJ-distance for time-series regression of excess test assets return on excess factor return reads: $HJ = \sqrt{\alpha'(E[RR']^{-1})\alpha}$ However, I am little ...
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0answers
72 views

Which stats are the best predictors of model sucess in real time? [closed]

What are the best predictors of real time model success in quantitative trading, i.e. # of transactions, length of backtest, StdDev, Skewness, Excess Kurtosis etc and what are the numerical values of ...
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0answers
15 views

Transform the sd of slope into that of the corresponding elasticity - for impulse response function estimates

As the title implies, I want to transform the sd of slope into the sd of the corresponding elasticity, particularly, in the context of impulse response function in VAR model. Some background ...
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1answer
91 views

Asset class dynamics differences

If we compare daily return dynamics of the main asset class time series (e.g. Stock indexes, bonds, precious commodities, etc) do we observe quantifiable differences? Are there some reference paper on ...
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1answer
89 views

How to create a currency independent commodity index

I'm looking for insights on a methodology to create my own bespoke index, specifically a gold index. I'd like to take the price of gold in various currencies, along with the different cross rates ...
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0answers
315 views

Meyer Packard Algorithm and its implementation

I have been trying to programatically implement a type of genetic algorithm called the Meyer Packard algorithm and the resources tend to be cryptic in terms of describing the different components for ...
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2answers
86 views

What returns to use?

I have monthly returns of my portfolio... I would like to summarize the performance over a longer period in one overall figure. Should I use log returns per month then use geometric mean on the log ...