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Financial modeling is the task of building an abstract representation (a model) of a real world financial situation. [1] This is a mathematical model designed to represent (a simplified version of) the performance of a financial asset or portfolio of a business, project , or any other investment.
Whether financial data can be considered a random walk is a venerable and challenging question. One of two possible results are obtained, the data does fall under random walk or the data does not. To investigate whether observed data follows a random walk, some methods or approaches have been proposed, for example, the variance ratio (VR) tests ...
Mathematical finance, also known as quantitative finance and financial mathematics, is a field of applied mathematics, concerned with mathematical modeling in the financial field. In general, there exist two separate branches of finance that require advanced quantitative techniques: derivatives pricing on the one hand, and risk and portfolio ...
Recessions. Many factors directly and indirectly serve as the causes of the Great Recession that started in 2008 with the US subprime mortgage crisis.The major causes of the initial subprime mortgage crisis and the following recession include lax lending standards contributing to the real-estate bubbles that have since burst; U.S. government housing policies; and limited regulation of non ...
Crisis (stock exchanges crash and multiple bankruptcies of firms occur) Recession (drops in prices and in output, high interest-rates) Recovery (stocks recover because of the fall in prices and incomes) Schumpeter's Juglar model associates recovery and prosperity with increases in productivity, consumer confidence, aggregate demand, and prices.
DuPont analysis (also known as the DuPont identity, DuPont equation, DuPont framework, DuPont model, DuPont method or DuPont system) is a tool used in financial analysis, where return on equity (ROE) is separated into its component parts.
In 1977, Phelim Boyle pioneered the use of simulation in derivative valuation in his seminal Journal of Financial Economics paper. [4] This article discusses typical financial problems in which Monte Carlo methods are used. It also touches on the use of so-called "quasi-random" methods such as the use of Sobol sequences.
The financial sector sharply expanded, in part because investment banks were going public, bringing them vast sums of stockholder capital. From 1978 to 2008, the average salary for workers outside of investment banking in the U.S. increased from $40k to $50k [ 14 ] – a 25 percent salary increase - while the average salary in investment ...
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