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A Course on Statistics for Finance
  • Language: en
  • Pages: 280

A Course on Statistics for Finance

  • Type: Book
  • -
  • Published: 2018-09-03
  • -
  • Publisher: CRC Press

Taking a data-driven approach, A Course on Statistics for Finance presents statistical methods for financial investment analysis. The author introduces regression analysis, time series analysis, and multivariate analysis step by step using models and methods from finance. The book begins with a review of basic statistics, including descriptive statistics, kinds of variables, and types of data sets. It then discusses regression analysis in general terms and in terms of financial investment models, such as the capital asset pricing model and the Fama/French model. It also describes mean-variance portfolio analysis and concludes with a focus on time series analysis. Providing the connection between elementary statistics courses and quantitative finance courses, this text helps both existing and future quants improve their data analysis skills and better understand the modeling process.

Research in Progress
  • Language: en
  • Pages: 644

Research in Progress

  • Type: Book
  • -
  • Published: 1983
  • -
  • Publisher: Unknown

None

Proceedings
  • Language: en
  • Pages: 314

Proceedings

  • Type: Book
  • -
  • Published: 1986
  • -
  • Publisher: Unknown

None

A Course on Statistics for Finance
  • Language: en
  • Pages: 281

A Course on Statistics for Finance

  • Type: Book
  • -
  • Published: 2018-09-03
  • -
  • Publisher: CRC Press

Taking a data-driven approach, A Course on Statistics for Finance presents statistical methods for financial investment analysis. The author introduces regression analysis, time series analysis, and multivariate analysis step by step using models and methods from finance. The book begins with a review of basic statistics, including descriptive statistics, kinds of variables, and types of data sets. It then discusses regression analysis in general terms and in terms of financial investment models, such as the capital asset pricing model and the Fama/French model. It also describes mean-variance portfolio analysis and concludes with a focus on time series analysis. Providing the connection between elementary statistics courses and quantitative finance courses, this text helps both existing and future quants improve their data analysis skills and better understand the modeling process.

Research in Progress
  • Language: en
  • Pages: 284

Research in Progress

  • Type: Book
  • -
  • Published: 1984
  • -
  • Publisher: Unknown

Vols. for 1977- consist of two parts: Chemistry, biological sciences, engineering sciences, metallurgy and materials science (issued in the spring); and Physics, electronics, mathematics, geosciences (issued in the fall).

Statistical Distributions in Scientific Work
  • Language: en
  • Pages: 458

Statistical Distributions in Scientific Work

Proceedings of the NATO Advanced Study Institute, Trieste, Italy, July 10-August 1, 1980

NBS Special Publication
  • Language: en
  • Pages: 574

NBS Special Publication

  • Type: Book
  • -
  • Published: 1970
  • -
  • Publisher: Unknown

None

An Author and Permuted Title Index to Selected Statistical Journals
  • Language: en
  • Pages: 512

An Author and Permuted Title Index to Selected Statistical Journals

  • Type: Book
  • -
  • Published: 1970
  • -
  • Publisher: Unknown

All articles, notes, queries, corrigenda, and obituaries appearing in the following journals during the indicated years are indexed: Annals of mathematical statistics, 1961-1969; Biometrics, 1965-1969#3; Biometrics, 1951-1969; Journal of the American Statistical Association, 1956-1969; Journal of the Royal Statistical Society, Series B, 1954-1969,#2; South African statistical journal, 1967-1969,#2; Technometrics, 1959-1969.--p.iv.

Proceedings of the ... Conference on the Design of Experiments
  • Language: en
  • Pages: 534

Proceedings of the ... Conference on the Design of Experiments

  • Type: Book
  • -
  • Published: 1985
  • -
  • Publisher: Unknown

None

Princeton Alumni Weekly
  • Language: en
  • Pages: 992

Princeton Alumni Weekly

None