Statistical analysis of financial data in R
@inproceedings{Carmona2014StatisticalAO, title={Statistical analysis of financial data in R}, author={Ren{\'e} A. Carmona}, year={2014} }
Univariate Data Distributions.- Heavy Tail Distributions.- Dependence and Multivariate Data Exploration.- Parametric Regression.- Local and Nonparametric Regression.- Time Series Models.- Multivariate Time Series, Linear Systems and Kalman Filtering.- Nonlinear Time Series: Models and Simulation.- Appendices.- Indices.
45 Citations
SYST/OR 538/438 Analytics for Financial Engineering and Econometrics Fall 2014
- Economics
- 2014
Topics include financial transactions and econometric data management, correlation, linear and multiple regressions for financial and economic predictions, stochastic dynamic models and financial time series analysis, and hand-on experiments with R are emphasized throughout the course.
Simultaneous Diagnostic Testing for Linear-Nonlinear Dependence in Time Series
- Mathematics
- 2020
Several goodness-of-fit tests have been proposed to detect linearity in stationary time series based on the autocorrelations of the residuals. Others have been developed based on the autocorrelations…
Taylor’s law of fluctuation scaling for semivariances and higher moments of heavy-tailed data
- MathematicsProceedings of the National Academy of Sciences
- 2021
It is shown that, as the sample size increases, the sample upper and lower semivariances, the sampled higher moments, the skewness, and the kurtosis of a random sample from such a law increase asymptotically in direct proportion to a power of the sample mean.
Bootstrapping a powerful mixed portmanteau test for time series
- MathematicsJournal of Applied Statistics
- 2022
A new portmanteau test statistic is proposed for detecting nonlinearity in time series data. The new portmanteau statistic is calculated from the log of the determinant of a matrix comprised of the…
Mixed Portmanteau Tests for Simultaneous Linear and Nonlinear Dependency in Time Series
- Mathematics
- 2021
Omnibus portmanteau tests, for detecting simultaneous linear and nonlinear dependence structures in time series, are proposed. The tests are based on combining the autocorrelation function of the…
Financialization of the Commodities Markets: A Non-technical Introduction
- Economics
- 2015
The goal of the first part of this chapter is threefold: (a) to introduce the term structure of forward/futures commodity prices, the contango/backwardation duality and the notion of rolling yield as…
Stieltjes Sample Characteristic Function: Singular Continuous Distributions Parameters Estimation
- MathematicsIranian Journal of Science and Technology, Transactions A: Science
- 2019
In this paper, the Steiltjes sample characteristic function is introduced and studied. It is applied to establish a new parameter estimation method. The method is useful to estimate parameters of…
A model-free, non-parametric method for density determination, with application to asset returns
- MathematicsPhysica A: Statistical Mechanics and its Applications
- 2019
A Powerful Portmanteau Test for Detecting Nonlinearity in Time Series
- Mathematics
- 2020
A new portmanteau test statistic is proposed for detecting nonlinearity in time series data. In this paper, we elaborate on the Toeplitz autocorrelation matrix to the autocorrelation and…
Nonstationary time series transformation methods: An experimental review
- Computer ScienceKnowl. Based Syst.
- 2019