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Author: James F. Wright
Publisher:
ISBN: 9780814407165
Category : New business enterprises
Languages : en
Pages : 346
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Book Description
Author: James F. Wright
Publisher:
ISBN: 9780814407165
Category : New business enterprises
Languages : en
Pages : 346
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Book Description
Author: Paolo Brandimarte
Publisher: John Wiley & Sons
ISBN: 1118594517
Category : Business & Economics
Languages : en
Pages : 620
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Book Description
An accessible treatment of Monte Carlo methods, techniques, and applications in the field of finance and economics Providing readers with an in-depth and comprehensive guide, the Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics presents a timely account of the applicationsof Monte Carlo methods in financial engineering and economics. Written by an international leading expert in thefield, the handbook illustrates the challenges confronting present-day financial practitioners and provides various applicationsof Monte Carlo techniques to answer these issues. The book is organized into five parts: introduction andmotivation; input analysis, modeling, and estimation; random variate and sample path generation; output analysisand variance reduction; and applications ranging from option pricing and risk management to optimization. The Handbook in Monte Carlo Simulation features: An introductory section for basic material on stochastic modeling and estimation aimed at readers who may need a summary or review of the essentials Carefully crafted examples in order to spot potential pitfalls and drawbacks of each approach An accessible treatment of advanced topics such as low-discrepancy sequences, stochastic optimization, dynamic programming, risk measures, and Markov chain Monte Carlo methods Numerous pieces of R code used to illustrate fundamental ideas in concrete terms and encourage experimentation The Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics is a complete reference for practitioners in the fields of finance, business, applied statistics, econometrics, and engineering, as well as a supplement for MBA and graduate-level courses on Monte Carlo methods and simulation.
Author: John E. Triantis
Publisher: CRC Press
ISBN: 1466585994
Category : Business & Economics
Languages : en
Pages : 436
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Book Description
Based on four decades of experience and research, Navigating Strategic Decisions: The Power of Sound Analysis and Forecasting explains how to improve the decision-making process in your organization through the use of better long-term forecasts and decision support. Filled with time-tested methodologies and models, it provides you with the tools to establish the organization, processes, methods, and techniques required for analyzing and forecasting strategic decisions. Describing how to foster the conditions required for forecasts to materialize, this book will help you rank project valuations and select higher value creation projects. It also teaches you how to: Assess the commercial feasibility of large projects Apply sanity checks to forecasts and assess their resource implications Benchmark best-in-class strategic forecasting organizations, processes, and practices Identify project risks and manage project uncertainty Analyze forecasting models and scenarios to determine controllable levers Pinpoint factors needed to ensure that forecasted future states materialize as expected This book provides you with the benefit of the author’s decades of hands-on experience. In this book, John Triantis shares valuable insights on strategic planning, new product development, portfolio management, and business development groups. Describing how to provide world-class support to your corporate, market, and other planning functions, the book provides you with the tools to consistently make improved decisions that are based on hard data, balanced evaluations, well considered scenarios, and sound forecasts.
Author: I. Gusti Ngurah Agung
Publisher: John Wiley & Sons
ISBN: 0470828455
Category : Mathematics
Languages : en
Pages : 506
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Book Description
A practical guide to selecting and applying the most appropriate model for analysis of cross section data using EViews. "This book is a reflection of the vast experience and knowledge of the author. It is a useful reference for students and practitioners dealing with cross sectional data analysis ... The strength of the book lies in its wealth of material and well structured guidelines ..." Prof. Yohanes Eko Riyanto, Nanyang Technological University, Singapore "This is superb and brilliant. Prof. Agung has skilfully transformed his best experiences into new knowledge ... creating a new way of understanding data analysis." Dr. I Putu Gede Ary Suta, The Ary Suta Center, Jakarta Basic theoretical concepts of statistics as well as sampling methods are often misinterpreted by students and less experienced researchers. This book addresses this issue by providing a hands-on practical guide to conducting data analysis using EViews combined with a variety of illustrative models (and their extensions). Models having numerically dependent variables based on a cross-section data set (such as univariate, multivariate and nonlinear models as well as non-parametric regressions) are concentrated on. It is shown that a wide variety of hypotheses can easily be tested using EViews. Cross Section and Experimental Data Analysis Using EViews: Provides step-by-step directions on how to apply EViews to cross section data analysis - from multivariate analysis and nonlinear models to non-parametric regression Presents a method to test for all possible hypotheses based on each model Proposes a new method for data analysis based on a multifactorial design model Demonstrates that statistical summaries in the form of tabulations are invaluable inputs for strategic decision making Contains 200 examples with special notes and comments based on the author’s own empirical findings as well as over 400 illustrative outputs of regressions from EViews Techniques are illustrated through practical examples from real situations Comes with supplementary material, including work-files containing selected equation and system specifications that have been applied in the book This user-friendly introduction to EViews is ideal for Advanced undergraduate and graduate students taking finance, econometrics, population, or public policy courses, as well as applied policy researchers.
Author: John E. Triantis
Publisher: CRC Press
ISBN: 100040689X
Category : Business & Economics
Languages : en
Pages : 341
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Book Description
For many organizations, the way in which processes and projects are selected and executed is a fundamental factor in how well they can prosper in today’s marketplace. By improving efficiency, driving productivity and reducing costs, organizations can increase throughput, improve service and bring new products to market faster. The aim of this book is to show how to assess chances of project success at the idea stage in order to direct resources to promising projects and conserve resources. In doing that, it presents effective project execution processes, practices, and experiences that help to select the right projects and do them right. This is a mindset changing book from project speed and cost cutting to discipline, execution excellence, and competitive advantage. It is about effective business development using a practical approach to select the right projects and do them successfully. It describes how to evaluate and predict the likelihood of project success at the idea stage before resources are expended to develop projects. Each chapter describes how to evaluate planned project development and implementation, rate its performance, and identify gaps to be filled to achieve project execution excellence. The book is designed to guide the assessment of each project stage to uncover areas in need of improvement with focus on prediction of project success. Hence, each chapter stands on its own and assesses key elements of project stages to determine how well they are executed. The journey of project execution described is based on predicting project success at the idea stage and begins with understanding differences in large project requirements and their effects on the way they should be done. The evaluation of the idea’s origin and reasons for pursuing a project is done with help from an experienced facilitator/moderator. The reason for it is that this individual is engaged to assess likelihood of success from an external, independent, critical, and objective perspective before the project begins.
Author: I. Gusti Ngurah Agung
Publisher: John Wiley & Sons
ISBN: 1119504732
Category : Mathematics
Languages : en
Pages : 544
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Book Description
Introduces the latest developments in forecasting in advanced quantitative data analysis This book presents advanced univariate multiple regressions, which can directly be used to forecast their dependent variables, evaluate their in-sample forecast values, and compute forecast values beyond the sample period. Various alternative multiple regressions models are presented based on a single time series, bivariate, and triple time-series, which are developed by taking into account specific growth patterns of each dependent variables, starting with the simplest model up to the most advanced model. Graphs of the observed scores and the forecast evaluation of each of the models are offered to show the worst and the best forecast models among each set of the models of a specific independent variable. Advanced Time Series Data Analysis: Forecasting Using EViews provides readers with a number of modern, advanced forecast models not featured in any other book. They include various interaction models, models with alternative trends (including the models with heterogeneous trends), and complete heterogeneous models for monthly time series, quarterly time series, and annually time series. Each of the models can be applied by all quantitative researchers. Presents models that are all classroom tested Contains real-life data samples Contains over 350 equation specifications of various time series models Contains over 200 illustrative examples with special notes and comments Applicable for time series data of all quantitative studies Advanced Time Series Data Analysis: Forecasting Using EViews will appeal to researchers and practitioners in forecasting models, as well as those studying quantitative data analysis. It is suitable for those wishing to obtain a better knowledge and understanding on forecasting, specifically the uncertainty of forecast values.
Author: Stanley W. Silverman
Publisher:
ISBN:
Category : Capital investments
Languages : en
Pages : 198
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Book Description
Author: Ching Ming Chang
Publisher: Prentice Hall
ISBN:
Category : Business & Economics
Languages : en
Pages : 552
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Book Description
This easy-to-read book prepares engineers to fulfill their managerial responsibilities, acquire useful business perspectives, and take on the much-needed leadership roles to meet the challenges in the new millennium.The book is organized in three parts: Part I reviews the basic functions of engineering management; Part II provides backgrounds in cost accounting, financial analysis, financial management and marketing management; and Part III readies the reader for exercising leadership in managing technologies through discussions related to engineers as managers/leaders, ethics, web-based tools, globalization and engineering management in the decades to come.For engineering professionals who have an interest in becoming managers and/or leaders in their field.
Author: Yuri G. Raydugin
Publisher: Oxford University Press
ISBN: 0192582658
Category : Mathematics
Languages : en
Pages : 375
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Book Description
Project practitioners and decision makers complain that both parametric and Monte Carlo methods fail to produce accurate project duration and cost contingencies in majority of cases. Apparently, the referred methods have unacceptably high systematic errors as they miss out critically important components of project risk exposure. In the case of complex projects overlooked are the components associated with structural and delivery complexity. Modern Risk Quantification in Complex Projects: Non-linear Monte Carlo and System Dynamics Methodologies zeroes in on most crucial but systematically overlooked characteristics of complex projects. Any mismatches between two fundamental interacting subsystems - a project structure subsystem and a project delivery subsystem - result in non-linear interactions of project risks. Three kinds of the interactions are distinguished - internal risk amplifications stemming from long-term ('chronic') project system issues, knock-on interactions, and risk compounding. Affinities of interacting risks compose dynamic risk patterns supported by a project system. A methodology to factor the patterns into Monte Carlo modelling referred to as non-linear Monte Carlo schedule and cost risk analysis (N-SCRA) is developed and demonstrated. It is capable to forecast project outcomes with high accuracy even in the case of most complex and difficult projects including notorious projects-outliers: it has a much lower systematic error. The power of project system dynamics is uncovered. It can be adopted as an accurate risk quantification methodology in complex projects. Results produced by the system dynamics and the non-linear Monte Carlo methodologies are well-aligned. All built Monte Carlo and system dynamics models are available on the book's companion website.
Author: Bruno Dupire
Publisher:
ISBN: 9781899332915
Category : Derivative securities
Languages : en
Pages : 341
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Book Description
A core reference of classic research and new writing on the methodologies and applications of Monte Carlo simulation.
