Asset Pricing ( in R )

Using financial market data you will

sort stocks into various portfolios,

examine time-series properties of the formed portfolios,

illustrate the mean-variance trade-off using efficient frontier,

examine cross-sectional variation in portfolios and comment on importance of the sorting variables,

use the Fama-MacBeth regressions and Fama-French-Carhart-Pastor-Stambaugh factor model to assess the performance of the sorting variables

Taidot: Tilastoanalyysi, Tilastotiede, Tutkimusten kirjoitus, R-ohjelmointikieli, Liiketoiminta-analyysi

Näytä lisää: data stock market data using, financial market data uml java, stock market data using aspnet, design implementation frontend interface analyzing financial market data, financial correlation data stock market, stock market data analysis using r, r stock market data, practical data science: analyzing stock market data with r, jump-diffusion models for asset pricing in financial engineering, an introduction to stock market data analysis with r, nyse market data pricing 2018, using r and rstudio for data management, statistical analysis, and graphics pdf, capital asset pricing model in r, data science and financial market, financial market data, financial market data/analysis global share & segment sizing 2018, consider the following time series data choose the correct time series plot, an introduction to stock market data analysis with r part 2, using r to analyze excel data, financial market data dashboard

Tietoa työnantajasta:
( 0 arvostelua ) Praha 4, Czech Republic

Projektin tunnus: #30546666

9 freelanceria on tarjonnut keskimäärin €15 tähän työhön


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