Towards an XBRL-enabled corporate governance reporting taxonomy. ab 59.9 € als gebundene Ausgabe: An empirical study of NYSE-listed Financial Institutions. Aus dem Bereich: Bücher, Wissenschaft, Wirtschaftswissenschaft,
Michael Lewis’ Flash Boys revealed how high-frequency trading has created a ruthless breed of traders capable of winning whichever way the market turns. In Rogue Code, Mark Russinovich takes it one step further to show how their grip on high finance makes the stock market vulnerable to hackers who could bring about worldwide financial collapse. Cyber security expert Jeff Aiken knows that no computer system is completely secure. When he’s called to investigate a possible breach at the New York Stock Exchange, he discovers not only that their system has been infiltrated but that someone on the inside knows. Yet for some reason, they have allowed the hackers to steal millions of dollars from accounts without trying to stop the theft. When Jeff uncovers the crime, the NYSE suddenly turns on him. Accused of grand larceny, he must find and expose the criminals behind the theft, not just to prove his innocence but to stop a multibillion-dollar heist that could upend the U.S. economy. Unwilling to heed Jeff’s warnings, the NYSE plans to continue with a major IPO using a new, untested system, one that might be susceptible both to hackers and to ruthless high-frequency traders willing to take any risk to turn a profit. Now Jeff Aiken must unearth the truth on his own, following the thread to the back alleys of Rio de Janeiro to take on one of the world’s most ruthless cartels. Praised for his combination of real-world technology and quick-paced action, with Rogue Code Mark Russinovich delivers an intense thriller about a cyber threat that seems all too possible - and the Wall Street traders who might allow it to happen. Includes a foreword by Haim Bodek, author of The Problem of HFT: Collected Writings on High Frequency Trading & Stock Market Structure Reform. 1. Language: English. Narrator: Johnny Heller. Audio sample: http://samples.audible.de/bk/aren/001792/bk_aren_001792_sample.mp3. Digital audiobook in aax.
Towards an XBRL-enabled corporate governance reporting taxonomy. ab 59.9 EURO An empirical study of NYSE-listed Financial Institutions
Towards an XBRL-enabled corporate governance reporting taxonomy. ab 19.99 EURO An empirical study of NYSE-listed Financial Institutions
Market microstructure is a discipline studying thefeatures of the financial markets, which are the result of deliberate design as well as economic laws and technological infrastructure. It has recently increased in importance because of the propagation of programmatic trading and the proliferation of ever more sophisticated financial fraud. My book deals with the subject of microstructure of financial markets not as a collection of miscellaneous results but as a connection between few underlying ideas. These ideas concern the formation of the bid-ask spread as a result of information asymmetry, order processing and inventory maintenance and consequent bid-ask bounce, the influence of frictions on volatility and the relationship between natural (continuous) and transaction (discrete) time. Empirical examples involve event studies of the developed (NYSE, Nasdaq) as well as emerging markets such as Russian sovereign bond market in the late 90s and Venezuelan short-term debt.
Research is done for various financial anomalies in order to get a more complete view of these anomalies. On the contrary of most existing literature, this research looked at common investment strategies for the S&P500. This choice was made for the reason that, until now, most research was done for the NYSE and NASDAQ stock exchanges. Therefore, it might be that those anomalies are only to be found in smaller markets. The S&P500 is chosen to see if indeed this is the case.
Corporate financial scandals caused the investment community, the business world as well as the US Congress to question and then reform the financial auditing standards through the adoption of an act named Sarbanes-Oxley (SOX). The SOX aim is to restore and maintain confidence in financial reporting and it applies to all companies, including foreign ones, which stocks are listed in US stock markets. The documentation of the internal controls over financial reporting and an annual report on the effectiveness of the controls is among SOX key provisions (Section 404 of SOX Act). Therefore, all companies listed on US stock markets have to comply with Section 404 recommendations. This book gives the general basis on SOX, then an application of SOX compliance project in a listed bank. On a quarterly basis, NYSE listed companies need to report on their financial controls, therefore this book is a good tool for CEOs, CFOs, internal auditors, external auditors, business researchers, business schools, listed banks, investors, law makers, Congress Members and students.
Stock exchanges are considered major players in the financial sector of many countries. In such exchanges, it is Stockbrokers who execute stock trade deals and advise clients on where to invest. Most of these Stockbrokers use technical, fundamental or time series analysis in trying to predict future stock prices, so as to advise clients on appropriate investments. However, these strategies do not usually guarantee good returns because they guide on trends and not the most likely trade price of a future date. It is therefore necessary to explore improved methods of prediction. The research uses Artificial Neural Network (ANN) that is feedforward multi-layer perceptron (MLP) with error backpropagation to develop a model ANN of configuration 5:21:21:1 using 80% data for training in 130,000 cycles. The research then develops a prototype and tests it using 2008-2012 data from various stock markets, such as the Nairobi Securities Exchange (NSE) and New York Stock Exchange (NYSE). Results showed that the model predicted prices with MAPE of 0.71% to 2.77%. Validation done using Neuroph & Encog showed close RMSE. The model can therefore be used in any typical stock market predict.
The Federal National Mortgage Association (FNMA) (NYSE: FNM), commonly known as Fannie Mae, is a stockholder-owned corporation chartered by Congress in 1968 as a government-sponsored enterprise (GSE), but founded in 1938 during the Great Depression. The corporation's purpose is to purchase and securitize mortgages in order to ensure that funds are consistently available to the institutions that lend money to home buyers. On September 7, 2008, James Lockhart, director of the Federal Housing Finance Agency (FHFA), announced that Fannie Mae and Freddie Mac were being placed into conservatorship of the FHFA. The action is "one of the most sweeping government interventions in private financial markets in decades". As of 2008[update], Fannie Mae and the Federal Home Loan Mortgage Corporation (Freddie Mac) owned or guaranteed about half of the U.S.'s $12 trillion mortgage market.