001452157 000__ 04892cam\a2200589\i\4500 001452157 001__ 1452157 001452157 003__ OCoLC 001452157 005__ 20230310003343.0 001452157 006__ m\\\\\o\\d\\\\\\\\ 001452157 007__ cr\cn\nnnunnun 001452157 008__ 230111s2022\\\\sz\a\\\\ob\\\\001\0\eng\d 001452157 019__ $$a1356877936 001452157 020__ $$a9783031142369$$q(electronic bk.) 001452157 020__ $$a3031142365$$q(electronic bk.) 001452157 020__ $$z9783031142352 001452157 020__ $$z3031142357 001452157 0247_ $$a10.1007/978-3-031-14236-9$$2doi 001452157 035__ $$aSP(OCoLC)1357552159 001452157 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dUKAHL 001452157 049__ $$aISEA 001452157 050_4 $$aHG173 001452157 08204 $$a332.0285$$223/eng/20230111 001452157 1001_ $$aLee, John C.,$$eauthor.$$1https://isni.org/isni/0000000360534058 001452157 24510 $$aEssentials of Excel VBA, Python, and R.$$nVolume I,$$pFinancial statistics and portfolio analysis /$$cJohn Lee, Cheng-Few Lee. 001452157 24630 $$aFinancial statistics and portfolio analysis 001452157 250__ $$aSecond edition. 001452157 264_1 $$aCham :$$bSpringer,$$c[2022] 001452157 264_4 $$c©2022 001452157 300__ $$a1 online resource (xvi, 696 pages) :$$billustrations (chiefly color) 001452157 336__ $$atext$$btxt$$2rdacontent 001452157 337__ $$acomputer$$bc$$2rdamedia 001452157 338__ $$aonline resource$$bcr$$2rdacarrier 001452157 504__ $$aIncludes bibliographical references. 001452157 5050_ $$aChapter 1. Introduction -- Chapter 2. Data Collection, Presentation, and Yahoo Finance -- Chapter 3. Histograms and the Rate of Returns of JPM and JNJ -- Chapter 4. Numerical Summary Measures on Stock Rates of Return and Market Rates of Return -- Chapter 5. Probability Concepts and their Analysis -- Chapter 6. Discrete Random Variables and Probability Distributions -- Chapter 7. The Normal and Lognormal Distributions -- Chapter 8. Sampling Distributions and Central Limit Theorem -- Chapter 9. Other Continuous Distributions -- Chapter 10. Estimation -- Chapter 11. Hypothesis Testing -- Chapter 12. Analysis of Variance and Chi-Square Tests -- Chapter 13. Simple Linear Regression and the Correlation Coefficient -- Chapter 14. Simple Linear Regression and Correlation: Analyses and Applications -- Chapter 15. Multiple Linear Regression -- Chapter 16. Residual and Regression Assumption Analysis -- Chapter 17. Nonparametric Statistics -- Chapter 18. Time Series: Analysis, Model, and Forecasting -- Chapter 19. Index Numbers and Stock Market Indexes -- Chapter 20. Sampling Surveys: Methods and Applications -- Chapter 21. Statistical Decision Theory -- Chapter 22. Sources of Risks and their Determination -- Chapter 23. Risk-Aversion, Capital Asset Allocation, and Markowitz Portfolio Selection Model -- Chapter 24. Capital Asset Pricing Model and Beta Forecasting -- Chapter 25. Single-Index Models for Portfolio Selection -- Chapter 26. Sharpe Performance Measure and Treynor Performance Measure Approach to Portfolio Analysis. 001452157 506__ $$aAccess limited to authorized users. 001452157 520__ $$aThis advanced textbook for business statistics teaches statistical analyses and research methods utilizing business case studies and financial data, with the applications of Excel VBA, Python and R. Each chapter engages the reader with sample data drawn from individual stocks, stock indices, options, and futures. Now in its second edition, it has been expanded into two volumes, each of which is devoted to specific parts of the business analytics curriculum. To reflect the current age of data science and machine learning, the used applications have been updated from Minitab and SAS to Python and R, so that readers will be better prepared for the current industry. This first volume is designed for advanced courses in financial statistics, investment analysis and portfolio management. It is also a comprehensive reference for active statistical finance scholars and business analysts who are looking to upgrade their toolkits. Readers can look to the second volume for dedicated content on financial derivatives, risk management, and machine learning. 001452157 588__ $$aDescription based on print version record. 001452157 63000 $$aMicrosoft Excel (Computer file) 001452157 650_0 $$aFinance$$xData processing. 001452157 650_0 $$aFinance$$xStatistical methods. 001452157 650_0 $$aElectronic spreadsheets$$xComputer programs. 001452157 650_0 $$aPython (Computer program language) 001452157 650_0 $$aR (Computer program language)$$xStatistical methods. 001452157 655_0 $$aElectronic books. 001452157 7001_ $$aLee, Cheng F.,$$eauthor.$$1https://isni.org/isni/0000000109639730 001452157 77608 $$iPrint version:$$aLee, John C.$$tEssentials of Excel VBA, Python, and R. Volume I, Financial statistics and portfolio analysis.$$bSecond edition.$$dCham : Springer, 2022$$z9783031142352$$w(OCoLC)1346943394 001452157 852__ $$bebk 001452157 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-14236-9$$zOnline Access$$91397441.1 001452157 909CO $$ooai:library.usi.edu:1452157$$pGLOBAL_SET 001452157 980__ $$aBIB 001452157 980__ $$aEBOOK 001452157 982__ $$aEbook 001452157 983__ $$aOnline 001452157 994__ $$a92$$bISE