Question

write down and explain the formal definition of stationarity for a financial time series process

write down and explain the formal definition of stationarity for a financial time series process

Homework Answers

Answer #1

Answer:

Stationary time series (for a financial time series process)

A stationary time series is one whose statistical properties such as mean, variance, autocorrelation, etc. are all constant over time. A stationary time-series is an outcome of a stationary process.

It is possible to formally test whether a time series is stationary or not. Statistical tests of the null hypothesis that a time series is non-stationary against the alternative that it is stationary are called unit root tests.

In statistical term a stationary process is assumed to be in a particular state of statistical equilibrium i.e. p(xt) is the same for all t.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Write the formal definition for unbiasedness in symbols
Write the formal definition for unbiasedness in symbols
How would stationarity be corrected in time series analysis if present? You need not conduct this...
How would stationarity be corrected in time series analysis if present? You need not conduct this correction, simply discuss it.
Write down a power series with interval of convergence (0, 4). Write down a power series...
Write down a power series with interval of convergence (0, 4). Write down a power series with interval of convergence [0, 4).
Would you please explain with details the followings: *Moving average Time series is a useful process...
Would you please explain with details the followings: *Moving average Time series is a useful process to describe events producing an immediate effects that lasts for short period of time. Provide an example if it is possible, pleases
1. General features of economic time series: trends, cycles, seasonality. 2. Simple linear regression model and...
1. General features of economic time series: trends, cycles, seasonality. 2. Simple linear regression model and multiple regression model: dependent variable, regressor, error term; fitted value, residuals; interpretation. 3. Population VS sample: a sample is a subset of a population. 4. Estimator VS estimate. 5. For what kind of models can we use OLS? 6. R-squared VS Adjusted R-squared. 7. Model selection criteria: R-squared/Adjusted R-squared; residual variance; AIC, BIC. 8. Hypothesis testing: p-value, confidence interval (CI), (null hypothesis , significance...
Describe how to write an executive summary for a formal business report. Explain in your own...
Describe how to write an executive summary for a formal business report. Explain in your own words.
Describe what is meant by the process of decomposition of a time series.
Describe what is meant by the process of decomposition of a time series.
Urgent! Write down the definition of what it means for one vector to be a linear...
Urgent! Write down the definition of what it means for one vector to be a linear combination of a collection of other vectors. Can a given vector v be written as a linear combination of vectors v1, v2, ...., vn in more than one way? Justify your answer. This is Linear Algebra
After completing problem definition model process, write the problem statement, and speak to how easy or...
After completing problem definition model process, write the problem statement, and speak to how easy or difficult finding a solution for the medication error problem will be.
1)Write down the coordinate free definition of divergence of a vector field. 2)Derive an expression for...
1)Write down the coordinate free definition of divergence of a vector field. 2)Derive an expression for the divergence of a vector field using part 1) and using integral form of Gauss' law for the electric field E.