Financial Modelling –Creation of complex financial models aimed at forecasting future performance. SQL, Python, and Excel –Advanced Excel analytics and data processing. Financial Performance Evaluation –Profitability and liquidity analysis, balance sheet, and income statement review. Industry and Economic...
You’ll learn to perform financial analyses and modelling, assess risks and returns of alternative investments and make effective financial management decisions. Cash Flow Analysis by New York Institute of Finance (NYIF) –In this course, you’ll learn about the statement of cash flow: cash flow...
• Experience in data modelling• Strong skills in accessing and using analytical tools (e.g. KNIME and Python)Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience ...
【Offer展示】爱丁堡大学The University of Edinburgh MSc Financial Modelling and Optimization 金融建模和优化硕士 斑马博士,爱丁堡大学,MSc Financial Modelling and Optimization 【学校介绍】爱丁堡大学(The University of Edinburgh, Edin.)简称爱大,是一所公立研究型大学、七所古典大学之一。爱丁堡大学是是众多知名学术...
investigations are conducted over the extracted dataset to address the research questions and the impact is analysed according to its disturbance in terms of Twitter volume (Section5); in terms of hashtag dynamics and topic modelling (Section6and Section7); in terms of sentiment towards the ...
3.4 Modelling future scenarios Distributions. In the context of quantitative finance, the evolution of asset prices is regularly modelled with the help of distributions. These can either reflect the prices directly or their changes (returns) relative to fixed (= current) values. Alternatively, one ...
Topaloglu/Frazier Monte Carlo and Renegar's Optimization Modelling classes were great. Ruppert's Statistics for FE is something I use in my job on daily basis. On the soft side there are good classes on fixed income - Jarrow and MBS - Averbukh. Stoikov gives a solid introduction to market ...
Good understanding of OTC derivatives pricing and counterparty credit risk modeling methodologies, e.g. PFE/CVA/DVA modelling as well as understanding of relevant regulatory requirement (e.g. HKMA-SPM CR-G-13) Knowledge in other valuation adjustments (e.g., FVA, MVA, KVA, etc.) would be ad...
investors and financial operators study market trends to understand when bubbles might occur using technical analysis tools. Such tools, which have been historically used, resulted in being precious allies at the basis of more advanced systems. In this regard, different autonomous, adaptive and automat...
This field of analysis involves the study of financial events through mathematical and statistical modelling. Trading opportunities are identified using statistical techniques. Quantitative traders take advantage of modern technology, mathematics, and the availability of huge historical datasets for making tradi...