karagul Goto Github PK

-banking-credit_risk_model

Credit risk modeling is the place where data science and fintech meet. It is one of the most important activities conducted in a bank, with the most attention since the recession. At present, it is the only comprehensive credit risk modeling course in Python available online – taking you from preprocessing, through probability of default (PD), loss given default (LGD) and exposure at default (EAD) modeling, all the way to calculating expected loss (EL).

-banking_finance-portfolio-risk-management

evaluate basic portfolio risk and returns . fully automate portfolio (Banking )construction and management processes. Discover what factors are driving portfolio returns, construct market-cap weighted equity portfolios,forecast and hedge market risk via scenario generation.

-developed-models-for-hedge-fund-with-machine-learning-

Deployed machine learning models (Logistic Regression, Random Forest, Gradient Boost, XGBoost, SVM, Neural Network) to manages an institutional grade long/short global equity strategy for the investors in hedge fund

-ma9712-statistics

Using R and markdown to solve exercises & cases studies presented in the statistics lecture.

01---r-markdown

R Markdown training

100-days-of-code.the-complete-python-pro-bootcamp-for-2022

Here is practicing codes for 100 Days of Code Python Pro Bootcamp by Dr. Angela Yu

120-years-of-olympics

Exploratory data analysis of Olympics participation data set, to understand impact of historical world events on the international games.

2019-ccf-sales-forecast-of-passenger-vehicle-segment-market

2019-cs109a

https://harvard-iacs.github.io/2019-CS109A/

26-weeks-of-data-science

Email Newsletter

2d-volatility-surface

3d-volatility-surface

4th-place-home-credit-default-risk

Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition

5minutefinance

Interactive Presentations for Financial Education using R/Shiny. See full list of presentations (with links) below.

a-volatility-based-trade-strategy

A simple trade strategy based on volatility by selling call option and longing future. It's my second project during my internship at citic securities.

aaa-esg

Economic Scenario Generator in Python

aar_predicting_vix-

AAR Project Gunn High School 2016-2017. Can historical prices of global assets and their correlations be used to predict the future model of the US VIX (Volatility Index) values?

academy-course-npl_eba

Supporting material for the Open Risk Academy course "Introduction to the EBA NPL Templates"

accelerators

Data science and AI solution accelerator suite that provides templates for prototyping, reporting, and presenting data science analytics of specific domains

account_asset_management_xls

1by1 module copy from repository github.com/oca/account-financial-tools

account_fstr

OpenERP Financial Statement Template Reporting Module

accuracy-ratio-ar-and-roc-in-credit-ratings-validation

Estimation of Accuracy Ratio AR and ROC in Credit Ratings validation

acfs

Applied Corporate Finance Seminar

active-portfolio-management

factor return calculation, mean-variance / Black&Litterman portfolio optimization, risk decomposition

active-portfolio-management-notes

Notes for Active Portfolio Management, by Grinold and Kahn

active_portfolio_management

NYU FRE-GY 9713 Active Portfolio Management

adaptive-forex-forecast

An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms

advance-python-training

Intro to Numpy, tkinter,Matplotlib,Pandas

advanced-corporate-finance-assignment

advanced-predictive-techniques-with-scikit-learn-and-tensorflow

Code Repository for Advanced Predictive Techniques with Scikit-Learn and TensorFlow, published by Packt