MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 10 lectures (1h 2m) | Size: 842.9 MB
Get Historical Prices, Fundamentals, Metrics/Ratios etc. for thousands of Stocks, Bonds, Indexes, (Crypto-) Currencies

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.20 GB | Duration: 3h 31m
How to Build an Asset Portfolio

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 11 lectures (1h 11m) | Size: 852.8 MB
Analyze Stocks with Pandas, Numpy, Seaborn & Descriptionly. Create, analyze & optimize Index & Portfolios (CAPM, Alpha, Beta)

English | 2022 | ISBN: 1265553602 | 1008 pages | True EPUB | 31 MB
Fundamentals of Corporate Finance was designed and developed for a first course in business or corporate finance, for both finance majors and non-majors alike. The text is nearly self-contained in terms of background or prerequisites, assuming some familiarity with basic algebra and accounting concepts, while still reviewing important accounting principles very early on. The organization of this text has been developed to give instructors the flexibility they need. The best-selling text has three basic themes that are the central focus of the book: 1) An emphasis on intuition: the authors separate and explain the principles at work on a common sense, intuitive level before launching into any specifics. 2) A unified valuation approach: net present value (NPV) is treated as the basic concept underlying corporate finance. 3) A managerial focus: the authors emphasize the role of the financial manager as a decision maker, and they stress the need for managerial input and judgment.

English | 2021 | ISBN: 9781838356095 | 311 pages | PDF,EPUB | 5.31 MB
We often hear that AI is revolutionising the financial sector, like no other technology has done before. This book looks beyond these clichés and explores all aspects of this transformation at a deep level. It spells out a vision for the future and answers many questions that are routinely ignored.

The Palgrave Handbook of Technological Finance
pdf, epub | 39.57 MB | English | Isbn:‎ B09FXP33W2 | Author: Raghavendra Rau, Robert Wardrop, Luigi Zingales | Year: 2021

English | 2020 | ISBN: 1786348055 | 1583 pages | True EPUB | 344.99 MB
This book discusses the interplay of stochastics (applied probability theory) and numerical analysis in the field of quantitative finance. The stochastic models, numerical valuation techniques, computational aspects, financial products, and risk management applications presented will enable readers to progress in the challenging field of computational finance.When the behavior of financial market participants changes, the corresponding stochastic mathematical models describing the prices may also change. Financial regulation may play a role in such changes too. The book thus presents several models for stock prices, interest rates as well as foreign-exchange rates, with increasing complexity across the chapters. As is said in the industry, 'do not fall in love with your favorite model.' The book covers equity models before moving to short-rate and other interest rate models. We cast these models for interest rate into the Heath-Jarrow-Morton framework, show relations between the different models, and explain a few interest rate products and their pricing.The chapters are accompanied by exercises. Students can access solutions to selected exercises, while complete solutions are made available to instructors. The MATLAB and Python computer codes used for most tables and figures in the book are made available for both print and e-book users. This book will be useful for people working in the financial industry, for those aiming to work there one day, and for anyone interested in quantitative finance. The topics that are discussed are relevant for MSc and PhD students, academic researchers, and for quants in the financial industry.

English | 2021 | ISBN: 1119805430 | 339 pages | True PDF | 10.93 MB
The money lessons you wish you'd learned in school