Author: Robert Parrino
Publisher: John Wiley & Sons
ISBN: 1119795435
Category : Business & Economics
Languages : en
Pages : 834
Book Description
Fundamentals of Corporate Finance, 5th Edition develops the key concepts of corporate finance with an intuitive approach while emphasizing computational skills. This course helps students develop an intuitive understanding of key financial concepts and provides them with problem-solving and decision-making skills. Using an intuitive approach, students develop a richer understanding of corporate finance concepts while also enabling them to develop the critical judgments necessary to apply financial tools in real-world decision-making situations. Corporate Finance, 5e offers a level of rigor that is appropriate for both business and finance majors and yet presents the content in a manner that students find accessible.
Fundamentals of Corporate Finance
Author: Robert Parrino
Publisher: John Wiley & Sons
ISBN: 1119795435
Category : Business & Economics
Languages : en
Pages : 834
Book Description
Fundamentals of Corporate Finance, 5th Edition develops the key concepts of corporate finance with an intuitive approach while emphasizing computational skills. This course helps students develop an intuitive understanding of key financial concepts and provides them with problem-solving and decision-making skills. Using an intuitive approach, students develop a richer understanding of corporate finance concepts while also enabling them to develop the critical judgments necessary to apply financial tools in real-world decision-making situations. Corporate Finance, 5e offers a level of rigor that is appropriate for both business and finance majors and yet presents the content in a manner that students find accessible.
Publisher: John Wiley & Sons
ISBN: 1119795435
Category : Business & Economics
Languages : en
Pages : 834
Book Description
Fundamentals of Corporate Finance, 5th Edition develops the key concepts of corporate finance with an intuitive approach while emphasizing computational skills. This course helps students develop an intuitive understanding of key financial concepts and provides them with problem-solving and decision-making skills. Using an intuitive approach, students develop a richer understanding of corporate finance concepts while also enabling them to develop the critical judgments necessary to apply financial tools in real-world decision-making situations. Corporate Finance, 5e offers a level of rigor that is appropriate for both business and finance majors and yet presents the content in a manner that students find accessible.
Commodity Price Dynamics
Author: Craig Pirrong
Publisher: Cambridge University Press
ISBN: 1139501976
Category : Business & Economics
Languages : en
Pages : 239
Book Description
Commodities have become an important component of many investors' portfolios and the focus of much political controversy over the past decade. This book utilizes structural models to provide a better understanding of how commodities' prices behave and what drives them. It exploits differences across commodities and examines a variety of predictions of the models to identify where they work and where they fail. The findings of the analysis are useful to scholars, traders and policy makers who want to better understand often puzzling - and extreme - movements in the prices of commodities from aluminium to oil to soybeans to zinc.
Publisher: Cambridge University Press
ISBN: 1139501976
Category : Business & Economics
Languages : en
Pages : 239
Book Description
Commodities have become an important component of many investors' portfolios and the focus of much political controversy over the past decade. This book utilizes structural models to provide a better understanding of how commodities' prices behave and what drives them. It exploits differences across commodities and examines a variety of predictions of the models to identify where they work and where they fail. The findings of the analysis are useful to scholars, traders and policy makers who want to better understand often puzzling - and extreme - movements in the prices of commodities from aluminium to oil to soybeans to zinc.
Makers and Takers
Author: Rana Foroohar
Publisher: Currency
ISBN: 0553447254
Category : Business & Economics
Languages : en
Pages : 402
Book Description
Is Wall Street bad for Main Street America? "A well-told exploration of why our current economy is leaving too many behind." —The New York Times In looking at the forces that shaped the 2016 presidential election, one thing is clear: much of the population believes that our economic system is rigged to enrich the privileged elites at the expense of hard-working Americans. This is a belief held equally on both sides of political spectrum, and it seems only to be gaining momentum. A key reason, says Financial Times columnist Rana Foroohar, is the fact that Wall Street is no longer supporting Main Street businesses that create the jobs for the middle and working class. She draws on in-depth reporting and interviews at the highest rungs of business and government to show how the “financialization of America”—the phenomenon by which finance and its way of thinking have come to dominate every corner of business—is threatening the American Dream. Now updated with new material explaining how our corrupted financial system propelled Donald Trump to power, Makers and Takers explores the confluence of forces that has led American businesses to favor balance-sheet engineering over the actual kind, greed over growth, and short-term profits over putting people to work. From the cozy relationship between Wall Street and Washington, to a tax code designed to benefit wealthy individuals and corporations, to forty years of bad policy decisions, she shows why so many Americans have lost trust in the system, and why it matters urgently to us all. Through colorful stories of both “Takers,” those stifling job creation while lining their own pockets, and “Makers,” businesses serving the real economy, Foroohar shows how we can reverse these trends for a better path forward.
Publisher: Currency
ISBN: 0553447254
Category : Business & Economics
Languages : en
Pages : 402
Book Description
Is Wall Street bad for Main Street America? "A well-told exploration of why our current economy is leaving too many behind." —The New York Times In looking at the forces that shaped the 2016 presidential election, one thing is clear: much of the population believes that our economic system is rigged to enrich the privileged elites at the expense of hard-working Americans. This is a belief held equally on both sides of political spectrum, and it seems only to be gaining momentum. A key reason, says Financial Times columnist Rana Foroohar, is the fact that Wall Street is no longer supporting Main Street businesses that create the jobs for the middle and working class. She draws on in-depth reporting and interviews at the highest rungs of business and government to show how the “financialization of America”—the phenomenon by which finance and its way of thinking have come to dominate every corner of business—is threatening the American Dream. Now updated with new material explaining how our corrupted financial system propelled Donald Trump to power, Makers and Takers explores the confluence of forces that has led American businesses to favor balance-sheet engineering over the actual kind, greed over growth, and short-term profits over putting people to work. From the cozy relationship between Wall Street and Washington, to a tax code designed to benefit wealthy individuals and corporations, to forty years of bad policy decisions, she shows why so many Americans have lost trust in the system, and why it matters urgently to us all. Through colorful stories of both “Takers,” those stifling job creation while lining their own pockets, and “Makers,” businesses serving the real economy, Foroohar shows how we can reverse these trends for a better path forward.
Engineering
Production and Operations Analysis
Author: Steven Nahmias
Publisher: Irwin Professional Publishing
ISBN:
Category : Business & Economics
Languages : en
Pages : 856
Book Description
This text provides a survey of the analytical methods used to support the functions of production and operations management. This latest edition continues to bring the most thorough coverage of cutting-edge quantitative models used in operations, while presenting it in a clean, easy to understand fashion. There are many new problems both solved and unsolved for students to comprehend the quantitative material of the book. Furthermore, we have enhanced the technology package of this book to have more applied learning of concepts and skills for students. Lastly, technology, such as the internet, ecommerce, etc has been added to reflect the changes in how business is conducted. This text reflects Steve Nahmias' extensive teaching background and experience in both business and engineering schools. .
Publisher: Irwin Professional Publishing
ISBN:
Category : Business & Economics
Languages : en
Pages : 856
Book Description
This text provides a survey of the analytical methods used to support the functions of production and operations management. This latest edition continues to bring the most thorough coverage of cutting-edge quantitative models used in operations, while presenting it in a clean, easy to understand fashion. There are many new problems both solved and unsolved for students to comprehend the quantitative material of the book. Furthermore, we have enhanced the technology package of this book to have more applied learning of concepts and skills for students. Lastly, technology, such as the internet, ecommerce, etc has been added to reflect the changes in how business is conducted. This text reflects Steve Nahmias' extensive teaching background and experience in both business and engineering schools. .
Stock Market Prediction and Efficiency Analysis using Recurrent Neural Network
Author: Joish Bosco
Publisher: GRIN Verlag
ISBN: 3668800456
Category : Computers
Languages : en
Pages : 82
Book Description
Project Report from the year 2018 in the subject Computer Science - Technical Computer Science, , course: Computer Science, language: English, abstract: Modeling and Forecasting of the financial market have been an attractive topic to scholars and researchers from various academic fields. The financial market is an abstract concept where financial commodities such as stocks, bonds, and precious metals transactions happen between buyers and sellers. In the present scenario of the financial market world, especially in the stock market, forecasting the trend or the price of stocks using machine learning techniques and artificial neural networks are the most attractive issue to be investigated. As Giles explained, financial forecasting is an instance of signal processing problem which is difficult because of high noise, small sample size, non-stationary, and non-linearity. The noisy characteristics mean the incomplete information gap between past stock trading price and volume with a future price. The stock market is sensitive with the political and macroeconomic environment. However, these two kinds of information are too complex and unstable to gather. The above information that cannot be included in features are considered as noise. The sample size of financial data is determined by real-world transaction records. On one hand, a larger sample size refers a longer period of transaction records; on the other hand, large sample size increases the uncertainty of financial environment during the 2 sample period. In this project, we use stock data instead of daily data in order to reduce the probability of uncertain noise, and relatively increase the sample size within a certain period of time. By non-stationarity, one means that the distribution of stock data is various during time changing. Non-linearity implies that feature correlation of different individual stocks is various. Efficient Market Hypothesis was developed by Burton G. Malkiel in 1991.
Publisher: GRIN Verlag
ISBN: 3668800456
Category : Computers
Languages : en
Pages : 82
Book Description
Project Report from the year 2018 in the subject Computer Science - Technical Computer Science, , course: Computer Science, language: English, abstract: Modeling and Forecasting of the financial market have been an attractive topic to scholars and researchers from various academic fields. The financial market is an abstract concept where financial commodities such as stocks, bonds, and precious metals transactions happen between buyers and sellers. In the present scenario of the financial market world, especially in the stock market, forecasting the trend or the price of stocks using machine learning techniques and artificial neural networks are the most attractive issue to be investigated. As Giles explained, financial forecasting is an instance of signal processing problem which is difficult because of high noise, small sample size, non-stationary, and non-linearity. The noisy characteristics mean the incomplete information gap between past stock trading price and volume with a future price. The stock market is sensitive with the political and macroeconomic environment. However, these two kinds of information are too complex and unstable to gather. The above information that cannot be included in features are considered as noise. The sample size of financial data is determined by real-world transaction records. On one hand, a larger sample size refers a longer period of transaction records; on the other hand, large sample size increases the uncertainty of financial environment during the 2 sample period. In this project, we use stock data instead of daily data in order to reduce the probability of uncertain noise, and relatively increase the sample size within a certain period of time. By non-stationarity, one means that the distribution of stock data is various during time changing. Non-linearity implies that feature correlation of different individual stocks is various. Efficient Market Hypothesis was developed by Burton G. Malkiel in 1991.
Kernel Adaptive Filtering
Author: Weifeng Liu
Publisher: John Wiley & Sons
ISBN: 1118211219
Category : Science
Languages : en
Pages : 167
Book Description
Online learning from a signal processing perspective There is increased interest in kernel learning algorithms in neural networks and a growing need for nonlinear adaptive algorithms in advanced signal processing, communications, and controls. Kernel Adaptive Filtering is the first book to present a comprehensive, unifying introduction to online learning algorithms in reproducing kernel Hilbert spaces. Based on research being conducted in the Computational Neuro-Engineering Laboratory at the University of Florida and in the Cognitive Systems Laboratory at McMaster University, Ontario, Canada, this unique resource elevates the adaptive filtering theory to a new level, presenting a new design methodology of nonlinear adaptive filters. Covers the kernel least mean squares algorithm, kernel affine projection algorithms, the kernel recursive least squares algorithm, the theory of Gaussian process regression, and the extended kernel recursive least squares algorithm Presents a powerful model-selection method called maximum marginal likelihood Addresses the principal bottleneck of kernel adaptive filters—their growing structure Features twelve computer-oriented experiments to reinforce the concepts, with MATLAB codes downloadable from the authors' Web site Concludes each chapter with a summary of the state of the art and potential future directions for original research Kernel Adaptive Filtering is ideal for engineers, computer scientists, and graduate students interested in nonlinear adaptive systems for online applications (applications where the data stream arrives one sample at a time and incremental optimal solutions are desirable). It is also a useful guide for those who look for nonlinear adaptive filtering methodologies to solve practical problems.
Publisher: John Wiley & Sons
ISBN: 1118211219
Category : Science
Languages : en
Pages : 167
Book Description
Online learning from a signal processing perspective There is increased interest in kernel learning algorithms in neural networks and a growing need for nonlinear adaptive algorithms in advanced signal processing, communications, and controls. Kernel Adaptive Filtering is the first book to present a comprehensive, unifying introduction to online learning algorithms in reproducing kernel Hilbert spaces. Based on research being conducted in the Computational Neuro-Engineering Laboratory at the University of Florida and in the Cognitive Systems Laboratory at McMaster University, Ontario, Canada, this unique resource elevates the adaptive filtering theory to a new level, presenting a new design methodology of nonlinear adaptive filters. Covers the kernel least mean squares algorithm, kernel affine projection algorithms, the kernel recursive least squares algorithm, the theory of Gaussian process regression, and the extended kernel recursive least squares algorithm Presents a powerful model-selection method called maximum marginal likelihood Addresses the principal bottleneck of kernel adaptive filters—their growing structure Features twelve computer-oriented experiments to reinforce the concepts, with MATLAB codes downloadable from the authors' Web site Concludes each chapter with a summary of the state of the art and potential future directions for original research Kernel Adaptive Filtering is ideal for engineers, computer scientists, and graduate students interested in nonlinear adaptive systems for online applications (applications where the data stream arrives one sample at a time and incremental optimal solutions are desirable). It is also a useful guide for those who look for nonlinear adaptive filtering methodologies to solve practical problems.
InfoWorld
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 56
Book Description
InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects.
Publisher:
ISBN:
Category :
Languages : en
Pages : 56
Book Description
InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects.
Economic Time Series
Author: William R. Bell
Publisher: CRC Press
ISBN: 1439846588
Category : Mathematics
Languages : en
Pages : 544
Book Description
Economic Time Series: Modeling and Seasonality is a focused resource on analysis of economic time series as pertains to modeling and seasonality, presenting cutting-edge research that would otherwise be scattered throughout diverse peer-reviewed journals. This compilation of 21 chapters showcases the cross-fertilization between the fields of time s
Publisher: CRC Press
ISBN: 1439846588
Category : Mathematics
Languages : en
Pages : 544
Book Description
Economic Time Series: Modeling and Seasonality is a focused resource on analysis of economic time series as pertains to modeling and seasonality, presenting cutting-edge research that would otherwise be scattered throughout diverse peer-reviewed journals. This compilation of 21 chapters showcases the cross-fertilization between the fields of time s
InfoWorld
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 108
Book Description
InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects.
Publisher:
ISBN:
Category :
Languages : en
Pages : 108
Book Description
InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects.