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 individual stocks, bonds, derivatives, currencies and other financial instruments.
It differs from other forms of econometrics because the emphasis is usually on analyzing the prices of financial assets traded at competitive, liquid markets.
People working in the finance industry or researching the finance sector often use econometric techniques in a range of activities – for example, in support of portfolio management and in the valuation of securities. Financial econometrics is essential for risk managementwhen it is important to know how often 'bad' investment outcomes are expected to occur over future days, weeks, months and years.
topics include but not limited to:
Briefly speaking, financial econometric is included in econometric
Financial engineering is a multidisciplinary field involving financial theory, methods of engineering, tools of mathematics and the practice of programming.[1] It has also been defined as the application of technical methods, especially from mathematical finance and computational finance, in the practice of finance.[2] Despite its name, financial engineering does not belong to any of the fields in traditional professional engineering even though many financial engineers have studied engineering beforehand and many universities offering a postgraduate degree in this field require applicants to have a background in engineering as well
Financial engineering draws on tools from applied mathematics, computer science, statistics and economic theory
In the broadest sense, anyone who uses technical tools in finance could be called a financial engineer
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