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Take a look at northbridge - it does just what you describe.  I've used it with mySql at my last company, but I think it supports SQL Server too.  Don't know how your reporting group plans to access the data, but they also have an Excel add-in if the "reporting" is actually in the form of spreadsheets.

The Return on equity or ROE is a financial ratio that measures the return based of the equity of the stock. This is considered to be one of the best fundamental indicators.

The Formula is

ROE= Net Income / Total average equity

Generally you want to see a stock with a high Return on equity. This is not always the case however. Some industries will have a higher ratio while others will naturally come out with a lower ratio.

The currency trade network has since its inception built a network of business partners and stock exchanges.  This network is now engaged in currency trade and it mostly deals with the prominent currencies of the world.  The forex trading plan is continuously updated according to the newer developments in the financial markets across the world in any trading day.  Often currency traders look to the stock market to offset the losses that are likely to be encountered due to unavoidable situations.

An understanding of the operational procedures that guide this network is essential to conclude transactions with ease.  We have not discussed the procedures of this network because it is continuously changing as it is yet to build the requisite infrastructure and offer its services to the investors.  However, some of the prominent currency trading platforms are already considering major changes in the way they work and do business.  Consider the approach taken by a new currency trading network.  This network often interfaced with the following entities, which are also called its business partners:
•   Depository participants
•   Issuer company/registrar and transfer (R&T) agents of the companies
•   Clearing corporation/clearing house (CC/CH) of the prominent stock exchanges

For beginners, the best option is to be part of a virtual network that will get them familiarized regarding the emerging situation that they are likely to face in the live currency trading environment.  It is not an easy thing, but the initial effort helps in the long run.  In earlier times, due to the absence of the virtual network, customers that entered into the currency trade had to face difficult situations and the not so confident ones had to exit at short notice.  It is up to the new comer to decide as to how long he intends to use the virtual network to get familiarized with the currency trade.  Once he is confident, he can enter into the live environment under the tutelage of a prominent trader.  Today the number of currency traders is increasing with each passing year.

Dear All,

I am trying to write a paper about the short rate models and I would like to use Vasicek and CIR model and to do their comparison. I am writing from Turkey and I would like to implement these models to government eurobonds. I am reading the literature about short rate models but I wonder that is it possible to use Vasicek or CIR for modelling the eurobonds? They all have coupons and not in domestic currency. They are either denominated in dollars or euros. I don't know what do I need to do? Could you pls show me the way and give me some clues? Or Am I on the wrong way? Which model fits eurobonds (with coupons and foreign currency)?
 

http://paid4share.net/file/13217/9780387004518-0387004513-rar.html   

Monte Carlo Methods in Financial Engineering (Stochastic Modelling and Applied Probability) (v. 53) (Hardcover)by Paul Glasserman



Editorial ReviewsReview
"Paul Glasserman has written an astonishingly good book that bridges financial engineering and the Monte Carlo method. The book will appeal to graduate students, researchers, and most of all, practicing financial engineers … You will want to have prior knowledge of both the Monte Carlo method and financial engineering. If you do, you will find the book to be a goldmine … So often, financial engineering texts are very theoretical. This book is not. The Monte Carlo method serves as a unifying theme that motivates practical discussions of how to implement real models on real trading floors. You will learn plenty of financial engineering amidst these pages. The writing is a pleasure to read. Topics are timely and relevant. Glasserman's is a must-have book for financial engineers." -Glyn Holton, Contingency AnalysisMathematical Reviews, 2004: "... this book is very comprehensive, up-to-date and useful tool for those who are interested in implementing Monte Carlo methods in a financial context."
From the reviews:

"This recent book is a valuable addition to the references devoted to Monte Carlo methods. … the author succeeded in choosing the most actual topics in financial engineering and in presenting them in an appropriate way by keeping a suitable balance between mathematical rigour and an audience friendly language. … To help the reader, three appendices provide basic results on convergence concepts … . A large bibliography of 358 entries accompanies this text. In short, the reader will find this book extremely lucid and useful." (Radu Theodorescu, Zentralblatt MATH, Vol. 1038 (13), 2004)
"To keep it short, let me summarize the recension in one phrase: Paul Glausserman’s book is a ‘strong buy’ for everybody in the financial community. … one gets 596 pages full of valuable information on all aspects of Monte Carlo simulation. … Altogether, I can encourage everyone interested in Monte Carlo methods in finance to read the book. It is very well written … comes with a carefully selected bibliography (358 references) and a helpful index, thus making it really worth the buy." (Ralf Werner, OR – Spectrum Operations Research Spectrum, Issue 27, 2005)
"Glasserman’s new book is a remarkable presentation of the current state of the art of Monte Carlo Methods in Financial Engineering. … lot of material which is sometimes hard to access has been composed into one volume. … a high quality monograph which is both suitable as a reference for practitioners and researchers as well as a textbook … . The list of references is by itself a valuable aspect. The refreshing writing style of the author is tailor-made for the thirsty reader … ." (Uwe Wystup, www.mathfinance.de, November, 2003)
"aul Glasserman has written an astonishingly good book that bridges financial engineering and the Monte Carlo method. The book will appeal to graduate students, researchers, and most of all, practicing financial engineers. It is an advanced book. … The presentation is masterful. … You will learn plenty of financial engineering amidst the pages. The writing is a pleasure to read. Topics are timely and relevant. Glasserman’s is a must-have book for financial engineers." (www.riskbook.com, Dezember, 2003)
"This book is divided into three parts. … the aim of the author is … to give a precise description of the different techniques in order to facilitate their implementation. In my opinion, this book is a very comprehensive, up-to-date and useful tool for those who are interested in implementing Monte Carlo methods in a financial context." (Benjamin Jourdain, Mathematical Reviews, 2004g)
"The publication of this book is an important event in computational finance. For many years, Monte Carlo methods have been successfully applied to solve diverse problems in financial mathematics. By publishing this book the author deserves much credit for a very good attempt to lift such applications to a new level. … the book may well become a major reference in the field of applications of Monte Carlo methods in financial engineering. This is because the book is well structured and well written … ." (A Zhigljavsky, Journal of the Operational Research Society, Vol. 57, 2006)


Product Description
Monte Carlo simulation has become an essential tool in the pricing of derivative securities and in risk management. These applications have, in turn, stimulated research into new Monte Carlo methods and renewed interest in some older techniques. This book develops the use of Monte Carlo methods in finance and it also uses simulation as a vehicle for presenting models and ideas from financial engineering. It divides roughly into three parts. The first part develops the fundamentals of Monte Carlo methods, the foundations of derivatives pricing, and the implementation of several of the most important models used in financial engineering. The next part describes techniques for improving simulation accuracy and efficiency. The final third of the book addresses special topics: estimating price sensitivities, valuing American options, and measuring market risk and credit risk in financial portfolios. The most important prerequisite is familiarity with the mathematical tools used to specify and analyze continuous-time models in finance, in particular the key ideas of stochastic calculus. Prior exposure to the basic principles of option pricing is useful but not essential. The book is aimed at graduate students in financial engineering, researchers in Monte Carlo simulation, and practitioners implementing models in industry.


Product Details
Hardcover: 602 pages
Publisher: Springer; 1 edition (August 7, 2003)
Language: English
ISBN-10: 0387004513
ISBN-13: 978-0387004518