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Computational finance is a branch of applied computer science that deals with problems of practical interest in finance. [1] Some slightly different definitions are the study of data and algorithms currently used in finance [ 2 ] and the mathematics of computer programs that realize financial models or systems .
Financial engineering is a multidisciplinary field involving financial theory, methods of engineering, tools of mathematics and the practice of programming. [3] It has also been defined as the application of technical methods, especially from mathematical finance and computational finance , in the practice of finance .
Computational economics uses computer-based economic modeling to solve analytically and statistically formulated economic problems. A research program, to that end, is agent-based computational economics (ACE), the computational study of economic processes, including whole economies, as dynamic systems of interacting agents. [4]
Business informatics (BI) is a discipline combining economics, the economics of digitization, business administration, accounting, internal auditing, information technology (IT), and concepts of computer science. Business informatics centers around creating programming and equipment frameworks which ultimately provide the organization with ...
Accounting research is carried out both by academic researchers and by practicing accountants.Academic accounting research addresses all areas of the accounting profession, and examines issues using the scientific method; it uses evidence from a wide variety of sources, including financial information, experiments, computer simulations, interviews, surveys, historical records, and ethnography.
Financial intelligence requires an understanding of the basics of financial measurement including the income statement, the balance sheet, and the cash flow statement. It also requires knowing the difference between cash and profit and why a balance sheet balances. Understanding the art. Finance and accounting are an art as well as a science.
Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [ 4 ] Data science is "a concept to unify statistics , data analysis , informatics , and their related methods " to "understand and analyze actual phenomena " with data . [ 5 ]
Financial econometrics is the application of statistical methods to financial market data. [1] Financial econometrics is a branch of financial economics, in the field of economics. Areas of study include capital markets, [2] financial institutions, corporate finance and corporate governance. Topics often revolve around asset valuation of ...