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6,533 result(s) for "Finance Computer programs."
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Mastering R for quantitative finance
This book is intended for those who want to learn how to use R's capabilities to build models in quantitative finance at a more advanced level. If you wish to perfectly take up the rhythm of the chapters, you need to be at an intermediate level in quantitative finance and you also need to have a reasonable knowledge of R.
Using Excel for Business Analysis
Utilise Excel 2013 capabilities to build effective financial models Using Excel for Business Analysis, Revised Edition provides practical guidance for anyone looking to build financial models. Whether for business proposals, opportunity evaluation, financial reports, or any other business finance application, this book shows you how to design, create, and test your model, then present your results effectively using Excel 2013. The book opens with a general guide to financial modelling, with each subsequent chapter building skill upon skill until you have a real, working model of your own. Financial tools, features, and functions are covered in detail from a practical perspective, and put in context with application to real-world examples. Each chapter focuses on a different aspect of Excel modelling, including step-by-step instructions that walk you through each feature, and the companion website provides live model worksheets that give you the real hands-on practice you need to start doing your job faster, more efficiently, and with fewer errors. Financial modelling is an invaluable business tool, and Excel 2013 is capable of supporting the most common and useful models most businesses need. This book shows you how to dig deeper into Excel's functionality to craft effective financial models and provide important information that informs good decision-making. Learn financial modelling techniques and best practice Master the formulas and functions that bring your model to life Apply stress testing and sensitivity analysis with advanced conditionals Present your results effectively, whether graphically, orally, or written A deceptively powerful application, Excel supports many hundreds of tools, features, and functions; Using Excel for Business Analysis eliminates the irrelevant to focus on those that are most useful to business finance users, with detailed guidance toward utilisation and best practice.
Quicken® 2009 For Dummies
If just thinking about financial management gives you a headache, personal finance software is better than aspirin. Quicken is tops, and Quicken 2009 For Dummies is the quickest and easiest way to put it to work. Here's the plain-English guide to using the newest update of the nation's leading personal finance software. A leading CPA shows you how to track your finances day to day, keep your checkbook and pay bills online, and even plan for tax time with Quicken. Learn as much or as little as you need to know - just how to keep your checkbook straight, or even how Quicken helps manage stocks and the business end of rental property. Install and set up Quicken 2009, or update data files from a previous version Learn to make a budget that's flexible enough to work for your family or your business Keep your checkbook up to date, handle banking transactions online, and use Quicken calculators Print Quicken reports to help you track cash flow, identify missing checks, summarize spending, and more Set up tax-deferred or brokerage accounts and buy and sell securities Track your credit cards and bank accounts as well as mortgages, loans, and other debts Use Quicken's Home & Business or Rental Property Manager versions to keep your business books Handle payroll for business or household employees Track deductions to make tax preparation easier With Quicken 2009 For Dummies, you'll feel like a financial wizard!.
Quickbooks 2022 all-in-one for dummies
The soup-to-nuts QuickBooks reference that will make your small business life so much simpler! QuickBooks makesit quick to do your books, and QuickBooks 2022 All-in-One For Dummies makes it easy. The leading small business accounting software will become your best friend, helping you cut costs (no more expensive financial services) and save time, with all your accounting and payroll info in one place. With this value-priced, bestselling reference, you've got access to 8 mini-books that give you the answers you need to make running a small business that much more manageable. Inside, you'll discover thekey features of QuickBooks, plus refresh your memory on double-entry bookkeeping and all the otherbasics ofsmall business accounting.This jargon-free guideshowsyou, step-by-step, how to plan your perfect budget, simplify tax returns, manage inventory, create invoices, track costs, generate reports, and accurately check off every other financial task that comes across your desk! * Get the most out of QuickBooks 2022, including all the latest features and updates * Sharpen your finance and accounting know-how with a friendly rundown of the must-knows * Keep yourself in business witha solid budget, a world-class business plan, and clean payroll * Take the headache out of tax time with QuickTime's automated tax preparation QuickBooks All-in-One 2022For Dummiesis thetrustedgo-to that willsave you time andallow you tofocus on the business of running your small business!
Financial modelling : theory, implementation and practice (with Matlab source)
Financial modelling Theory, Implementation and Practice with Matlab Source Jörg Kienitz and Daniel Wetterau Financial Modelling - Theory, Implementation and Practice with MATLAB Source is a unique combination of quantitative techniques, the application to financial problems and programming using Matlab. The book enables the reader to model, design and implement a wide range of financial models for derivatives pricing and asset allocation, providing practitioners with complete financial modelling workflow, from model choice, deriving prices and Greeks using (semi-) analytic and simulation techniques, and calibration even for exotic options. The book is split into three parts. The first part considers financial markets in general and looks at the complex models needed to handle observed structures, reviewing models based on diffusions including stochastic-local volatility models and (pure) jump processes. It shows the possible risk-neutral densities, implied volatility surfaces, option pricing and typical paths for a variety of models including SABR, Heston, Bates, Bates-Hull-White, Displaced-Heston, or stochastic volatility versions of Variance Gamma, respectively Normal Inverse Gaussian models and finally, multi-dimensional models. The stochastic-local-volatility Libor market model with time-dependent parameters is considered and as an application how to price and risk-manage CMS spread products is demonstrated. The second part of the book deals with numerical methods which enables the reader to use the models of the first part for pricing and risk management, covering methods based on direct integration and Fourier transforms, and detailing the implementation of the COS, CONV, Carr-Madan method or Fourier-Space-Time Stepping. This is applied to pricing of European, Bermudan and exotic options as well as the calculation of the Greeks. The Monte Carlo simulation technique is outlined and bridge sampling is discussed in a Gaussian setting and for Lévy processes. Computation of Greeks is covered using likelihood ratio methods and adjoint techniques. A chapter on state-of-the-art optimization algorithms rounds up the toolkit for applying advanced mathematical models to financial problems and the last chapter in this section of the book also serves as an introduction to model risk. The third part is devoted to the usage of Matlab, introducing the software package by describing the basic functions applied for financial engineering. The programming is approached from an object-oriented perspective with examples to propose a framework for calibration, hedging and the adjoint method for calculating Greeks in a Libor market model. Source code used for producing the results and analysing the models is provided on the author's dedicated website, http://www.mathworks.de/matlabcentral/fileexchange/authors/246981.