Components:Finance Theory,Programming,Machine Learning, Robo-advising, and Blockchain

    A paper | courses I can offer remotely

'Traditional' Finance courses

• Corporate Finance by Welch | syllabus | Portfolio Analysis by Bodie at al. | syllabus | Business Analytics using Excel, syllabus | my Excel web | Options & Futures by Hull | syllabus | Business Statistics by Anderson et al. | syllabus

'Bridge course': Intro. to FinTech using Excel

• Click HERE for more details

Course #1: Programming for FinTech

• Python,Anaconda: Home | Download | Module index | Cheat sheets: Pointal | basic | quickref | Reg | wilfredinni | colab |
• R: download | packages | TaskViews: | Fin | Econome | ML | Dist |
• My book #1 (2023): R/Python | Amazon | Preface | GitHub | syllabus | paper
• My book #2 (2018): Financial Modeling using R: TOC | syllabus | book cover |
• My papers: course | 1 semester,2 languages | new way to teach

Course #2: Python for Finance

• Time value of money, trade-off between risk and return: Sharpe, Treynor, and Sornino ratios | VaR (Value at Risk), portfolio theory, Options theory, and Monte Carlo Simulation
• My book #3 (2017): Python for Finance 2nd | GitHub2 | Slides |

Course #3: Blockchain/Cryptocurrency via Python

• home | BitCoin price | latest | 1st | ether converter | etherScan | Pinata/NFT | kucoin | Private/public keys: mnemonic | BIP:39 | wordList | English | raw |
• Ganache | Remix: launch | home | doc | videos | MetaMask |
• Solidity: examples | 721 | Standards: 20 | 721 | cheatSheets: 1 | 2 | Manoj |
• Books/papers: DeFi/future of finance | 2 | policy | Guide2Crpto | web3 |
• Videos: mine#2 | Keith Bear | trust | Remix:v7:38 | 8:22 | 17:56 | <-code | metaMask | 2 |
• My GitHub: Blockchain | Python,Ganache and Crypto |

Jobs for FinTech instructors

• HigherEd Jobs | edX |

Course #4: Robo-advising using Python

• Black-Litterman:exp | steps | code: dcajasn | mkc940 | RcodeZip |
• Parametric Portfolio Policies: paper | Deep | code: Seaaann | R |
• Streamlit: home | docs | gallery | blog | deploy | Binomial tree | Remove background | Mine:Mortgage | APR/ER/EAR |
• Packages: glmnet | Git || Videos:Robo Advisor | Promises/pitfalls | trust |
• My papers: Course | Financial Planners

Course #5: Machine Learning using Python

• Full name:Technical Analysis, Text Analysis, and Machine Learning in Finance using Python
• Unsupervised Learning: def | def2 | k-means | code/stock | deepCluster |
• Supervised Learning: def | def2 | code |
• Deep Learning: def | def2 | code | code2 | code3 | Tinker
• Sklearn: index | user guide | examples | blog | fixes ||taskViews:ML | NLP |
• My book #4 (with James,2018): Data Science with Anaconda | GitHub

Programs: master, bachelor, and others

• Masters: Guide | U Central Florida | Illinois Tech | HKUST(GuangZhou) | Kennesaw | NYU | 2 | UCONN | Stevens | Duke | Brandeis | Boston U. | Keiser WPI |
• Bachelor: Chang Gung(Taiwan) | Bentley | Creighton | UNCW | Quinnipiac | WPI |
• PhD : Poly U (Hong Kong)
• Others: Fintech degrees | Guide | UCI | Harvard | 2 | NYU | Chicago | NUS | Coursera | GetSmarter | Texas | Columbia | Ranks | Cornell | Rutgers | HKU bootCamp |