Wednesday, September 17, 2014
The programme, known as "quantitative easing" (QE), is about to come to an end in October. The crucial question will be: has the programme worked? Andrew Huszar, a senior fellow at Rutgers Business School and former manager of the Fed's mortgage-buying programme, has argued that while rates may have been lowered, that didn't necessarily help ordinary Americans. "QE may have been driving down the...
Thursday, July 10, 2014
The Federal Reserve is set to end its economic stimulus program [quantitative easing] in October, bringing to an end the controversial five-year-old scheme even as officials said there were signs that the US economy was still in trouble. Controversial from the outset, QE was designed to keep long-term interest rates down and encourage investors to back stocks or corporate debt in order to...
Thursday, January 16, 2014
David Brown, a first year student in the top-ranked Rutgers MQF program, said the topics of the sovereign debt and potential default are both relevant and riveting. “The sovereign debt issue is huge,” Brown said, “and it may be having a more significant impact than people think.”
Friday, April 12, 2013
A professor of finance and economics, Cheng-Few Lee was selected to receive the organization’s Siwei Cheng Award in Quantitative Management for 2013. In a letter, the academy awards committee noted that Professor Lee was chosen for the inaugural award because of his “remarkable records in the theory, education and applications of quantitative finance and quantitative management.”
Thursday, February 21, 2013
After a lively panel discussion with some of the leading "quants" in the finance industry at the New York Stock Exchange, students had a chance to network with Rutgers alumni and other finance professionals on the famed NYSE trading floor during the Second Annual Quant Summit hosted by Rutgers Business School’s Master of Quantitative Finance (MQF) program.
Wednesday, February 20, 2013
Further strengthening its ties to Wall Street at the heart of the finance industry, the Rutgers Business School Master of Quantitative Finance program hosted its Second Annual MQF Quant Summit at the New York Stock Exchange (NYSE). Over 300 students, faculty and industry professionals gathered inside the stock exchange to hear renowned experts in risk management discuss the state of the industry and its practices, before heading to the famed trading floor for a networking reception with Rutgers alumni, students and Wall Street professionals.
Friday, October 19, 2012
Rutgers Master of Quantitative Finance (MQF) Program was featured in an article by Financial Advisor magazine, "Wall Street Pays Up for Quants."
Tuesday, May 22, 2012
Rutgers Business School’s Master of Quantitative Finance (MQF) program has been recognized as one of the “Top 10 Quant Schools in 2012” according to a panel of Wall Street experts. The ranking was conducted by Advanced Trading seeking the elite quant programs in 2012 that “do the best job of preparing candidates for quant jobs on the Street.”
Friday, March 30, 2012
Rutgers Business School has been chosen by the Options Industry Council (OIC) as one of two institutions in the country to host an educational program on the business of options. This is not a program about theory, but rather about how the options business works, and what types of opportunities are available to students in this business. The Road to Wall Street: Analyze Your Options will be held on Friday, April 13, 2012 from 10:00 am to 1:30 pm.
Thursday, February 16, 2012
The International Association of Financial Engineers (IAFE) recently announced the results of the 2011 National Academic Case Competition, a prestigious case competition between the nation’s top quant programs. The University of California - Berkeley’s team won the competition, but Rutgers’ Master of Quantitative Finance team and NYU were the only teams to earn Honorable Mentions.
Friday, October 8, 2010
Quantitative finance and risk management are a combination of economics, accounting, statistics, econometrics, mathematics, stochastic process, and computer science and technology.