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  2. Financial modeling - Wikipedia

    en.wikipedia.org/wiki/Financial_modeling

    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.

  3. Corporate Finance Institute - Wikipedia

    en.wikipedia.org/wiki/Corporate_Finance_Institute

    Corporate Finance Institute (CFI) is an online training and education platform for finance and investment professionals based in Vancouver Canada. It provides courses and certifications in financial modeling, valuation, and other corporate finance topics.

  4. Moody's Analytics - Wikipedia

    en.wikipedia.org/wiki/Moody's_Analytics

    It provides economic research regarding risk, performance and financial modeling, as well as consulting, training and software services. Moody's is composed of divisions such as Moody's KMV, Moody's Economy.com, Moody's Wall Street Analytics, the Institute of Risk Standards and Qualifications, and Canadian Securities Institute Global Education Inc.

  5. Financial Modeling World Cup - Wikipedia

    en.wikipedia.org/wiki/Financial_Modeling_World_Cup

    The competition was a standalone event that did not impact the Financial Modeling World Cup Rankings in regular seasons. [1] The tournament consisted of a Qualification Round, with the top 128 qualifiers advancing to a single elimination tournament. [5] Qualification rounds began on November 13, and continued into December. [5]

  6. Professional certification in financial services - Wikipedia

    en.wikipedia.org/wiki/Professional_certification...

    It is designed for in-depth training for individuals in derivatives, IT, quantitative trading, insurance, model validation or risk management. The program's focus is on the practical implementation of techniques ("real-world quantitative finance"), it thus incorporates an element of questioning and analyzing models and methods; it assumes some ...

  7. Financial models with long-tailed distributions and ...

    en.wikipedia.org/wiki/Financial_models_with_long...

    Financial models with long-tailed distributions and volatility clustering have been introduced to overcome problems with the realism of classical financial models. These classical models of financial time series typically assume homoskedasticity and normality and as such cannot explain stylized phenomena such as skewness, heavy tails, and volatility clustering of the empirical asset returns in ...