Analysis of Financial Data teaches the basic methods and techniques of data analysis to finance students, by showing them how to apply such techniques in the context of real-world empirical problems. Adopting a largely non-mathematical approach Analysis of Financial Data relies more on verbal intuition and graphical methods for understanding. Key features include: Coverage of many of the major tools used by the financial economist e.g. correlation, regression, time series analysis and methods for analyzing financial volatility. Extensive use of real data examples, which involves readers in hands-on computer work. Mathematical techniques at a level suited to MBA students and undergraduates taking a first course in the topic
FAME explores the use of Excel as THE calculating tool for finance professionals. As students enter ...
FAME explores the use of Excel as THE calculating tool for finance professionals. As students enter ...
Econometrics is concerned with the tasks of developing and applying quantitative or statistical meth...
Analysis of Financial Data teaches the basic methods and techniques of data analysis to finance stud...
Analysis of Financial Data teaches the basic methods and techniques of data analysis to finance stud...
Analysis of Financial Data teaches the basic methods and techniques of data analysis to finance stud...
Analysis of Economic Data teaches methods of data analysis to students whose primary interest is not...
Modern financial management is largely about risk management, which is increasingly data-driven. The...
This book offers the opportunity to study and experience advanced empi- cal techniques in finance an...
This rigorous textbook introduces graduate students to the principles of econometrics and statistics...
Financial analysis is an introductory manual whose primary scope is to define, analyze and interpre...
The recent surge in data science or analytics in finance is crucial for informed decision-making in ...
The recent surge in data science or analytics in finance is crucial for informed decision-making in ...
Financial analysis is an introductory manual whose primary scope is to define, analyze and interpre...
This master‘s thesis evaluates the financial situation of the company using selected indicators of f...
FAME explores the use of Excel as THE calculating tool for finance professionals. As students enter ...
FAME explores the use of Excel as THE calculating tool for finance professionals. As students enter ...
Econometrics is concerned with the tasks of developing and applying quantitative or statistical meth...
Analysis of Financial Data teaches the basic methods and techniques of data analysis to finance stud...
Analysis of Financial Data teaches the basic methods and techniques of data analysis to finance stud...
Analysis of Financial Data teaches the basic methods and techniques of data analysis to finance stud...
Analysis of Economic Data teaches methods of data analysis to students whose primary interest is not...
Modern financial management is largely about risk management, which is increasingly data-driven. The...
This book offers the opportunity to study and experience advanced empi- cal techniques in finance an...
This rigorous textbook introduces graduate students to the principles of econometrics and statistics...
Financial analysis is an introductory manual whose primary scope is to define, analyze and interpre...
The recent surge in data science or analytics in finance is crucial for informed decision-making in ...
The recent surge in data science or analytics in finance is crucial for informed decision-making in ...
Financial analysis is an introductory manual whose primary scope is to define, analyze and interpre...
This master‘s thesis evaluates the financial situation of the company using selected indicators of f...
FAME explores the use of Excel as THE calculating tool for finance professionals. As students enter ...
FAME explores the use of Excel as THE calculating tool for finance professionals. As students enter ...
Econometrics is concerned with the tasks of developing and applying quantitative or statistical meth...