USE EXCEL'S STATISTICAL TOOLS TO TRANSFORM YOUR DATA INTO KNOWLEDGE Nationally recognized Excel expert Conrad Carlberg shows you how to use Excel 2016 to perform core statistical tasks every business professional, student, and researcher should master.
This landmark work significantly advances the literature on game theory with a masterful conceptual presentation of the CORE working papers published in 1994.
Dieses Buch bietet eine Einführung in das Datenanalysepaket Stata und ist zugleich das einzige Buch über Stata, das auch Anfängern eine ausreichende Erklärung statistischer Verfahren liefert.
Pathwise estimation and inference for diffusion market models discusses contemporary techniques for inferring, from options and bond prices, the market participants' aggregate view on important financial parameters such as implied volatility, discount rate, future interest rate, and their uncertainty thereof.
This textbook guides the student step-by-step in developing and solving a DSGE (Dynamic Stochastic General Equilibrium) model-not only from the technical and conceptual aspects but also through the simulation process of each model.
Fascinating Insight into How the Financial System Works and How the Credit Crisis AroseClearly supplies details vital to understanding the crisis Unravelling the Credit Crunch provides a clearly written, comprehensive account of the current credit crisis that is easily understandable to non-specialists.
The creation of economic institutions that can function well under substantial uncertainties -- Black Swans -- is analogous to the dilemmas confronting our hunter-gatherer forefathers in the face of large-scale ecological unpredictability.
This book constitutes the first serious attempt to explain the basics of econometrics and its applications in the clearest and simplest manner possible.
This book illustrates the method of multiple hypotheses with detailed examples and describes the limitations facing all methods (including the method of multiple hypotheses) as the means for constructing knowledge about nature.
The Effect: An Introduction to Research Design and Causality is about research design, specifically concerning research that uses observational data to make a causal inference.
This book helps and promotes the use of machine learning tools and techniques in econometrics and explains how machine learning can enhance and expand the econometrics toolbox in theory and in practice.
Spatial statistics are useful in subjects as diverse as climatology, ecology, economics, environmental and earth sciences, epidemiology, image analysis and more.
Since the late 1980s and the beginning of the 1990s, the Commonwealth of Independent States (CIS) and Central and Eastern European Countries (CEECs) have been involved in the transition process.
This volume is a collection of classical and recent empirical studies of currency options and their implications for issues of exchange rate economics, such as exchange rate risk premium, volatility, market expectations, and credibility of exchange rate regimes.
Developed over 20 years of teaching academic courses, the Handbook of Financial Risk Management can be divided into two main parts: risk management in the financial sector; and a discussion of the mathematical and statistical tools used in risk management.
Focusing on the underlying themes that run through most multivariate methods, in this fully updated 3rd edition of The Essence of Multivariate Thinking Dr.
Understanding the dynamic evolution of the yield curve is critical to many financial tasks, including pricing financial assets and their derivatives, managing financial risk, allocating portfolios, structuring fiscal debt, conducting monetary policy, and valuing capital goods.
Dieser Buchtitel ist Teil des Digitalisierungsprojekts Springer Book Archives mit Publikationen, die seit den Anfängen des Verlags von 1842 erschienen sind.
Versatile for Several Interrelated Courses at the Undergraduate and Graduate LevelsFinancial Mathematics: A Comprehensive Treatment provides a unified, self-contained account of the main theory and application of methods behind modern-day financial mathematics.
Computational Methods in Finance is a book developed from the author's courses at Columbia University and the Courant Institute of New York University.