Name: Aliaksandr Panko
Type: User
Bio: MSc Quantitative Finance (WU, Vienna, Austria)
MSc Financial Engineering (World Quant University, USA)
MSc Applied Maths and Computer Science (BSU, Belarus)
Location: Vitznau, Switzerland
Blog: https://www.facebook.com/aliaksandr.panko
Aliaksandr Panko's Projects
Financial, Statistical, Mathematical and Computer Science
Some important concepts are writen here
Using Student's T-test check if mean daily return is 0
Calculate Implied Volatility using Newton's method
Check how many stocks (and which) are required to replicate an Index
WQU case study which analyses returns on SP500 and Nasdaq Indices from 2015 to 2017. Linear Regression analysis. Normality test
Theoretical Calculations
WQU case study which analyses returns on SP500 and Nasdaq Indices from 2015 to 2017
Simple Linear Regression is used to analyse significance of alpha and beta coefficients (for stock returns time series)
Monte Carlo Integration and Markov Chains. Theoretical
Combine stocks in portfolios and show that it is possible to achieve the same returns with much lower risk
Forcast a stock price using random walk equation with parameter from normal and uniform distribution. Compare these 2 cases
Some tips working with Excel
Finance & Investment
Store here some useful instructions for potentially repeating (painful) tasks
Tests ans solutions to prepare for interview and for fun
Set of mindmaps hard skills
Soft skills
check if sustainable investment strategies (SRI) lead to underperformace
Hierarchical Risk Parity portfolio optimization VS Minimum Variance optimization
The project studies ARIMA model
Stocks Performance comparison (basic characteristics)
Implement CAPM Model in Python and Excel
Implementing Descriptive Statistics in Python and Excel
In this assignment, we want to evaluate how Disney performed as an invest- ment between October 2008 and September 2013 and how risky it is. To do that we need to regresse monthly raw returns on Disney against returns on the S&P 500 over that period. Analyze parameters of the resulting regression model.
Analyse Trend and Cicle part in GDP data
Overview
This repository is a knowledge hub for Project Management skills
ARMA model implementation and prediction of in Commodity Market