Amit Kumar Jha's repositories
FX_forecasting_model
Foreign Exchange Forecasting Model created for the paper "Can Interest Rate Factors Explain Rate Fluctuations?"
website-templates
150+ HTML5 Website Templates
Portfolio-simulation-efficient-frontier-MPT-using-Python
Tha user has to specify: the list of symbols of stocks or the ETFs of interest Recommended max number of entries: 10 a short description of each stocks or ETFs (in the same order as above) the number of portolios she/he wants to simulate. Recommended number of portfolios to simulate > 5000
Intrinsic-Value-of-stocks
Config files for my GitHub profile.
Quantitative-Finance---Technical-Analysis-to-VaR-uisng-Indian-Stocks
Quantitative Finance - Technical Analysis to VaR uisng Indian Stocks
Historical-analysis-of-the-Forex-market-USD-INR-using-Python
The foreign exchange market has seen significant movement in recent years. The dollar has appreciated in value relative to other currencies, especially compared to the yen. In this article we will use historical data to analyze how the dollar has changed and whether there is a relationship between the dollar and INR and Indian interest rates. The analysis will be conducted using Python. Throughout this article we will learn 1. How to get and analyze financial data 2. How Dollar-Yen exchange rate have been changing 3. Relationship between the U.S.-Japan interest rate differential and the exchange rate
Interactions-among-default-risk-output-and-an-equilibrium-interest-rate
The model describes interactions among default risk, output, and an equilibrium interest rate that includes a premium for endogenous default risk. The decision maker is a government of a small open economy that borrows from risk-neutral foreign creditors. The foreign lenders must be compensated for default risk. The government borrows and lends abroad in order to smooth the consumption of its citizens. The government repays its debt only if it wants to, but declining to pay has adverse consequences. The interest rate on government debt adjusts in response to the state-dependent default probability chosen by government. The model yields outcomes that help interpret sovereign default experiences, including countercyclical interest rates on sovereign debt countercyclical trade balances high volatility of consumption relative to output Notably, long recessions caused by bad draws in the income process increase the government’s incentive to default. This can lead to spikes in interest rates temporary losses of access to international credit markets large drops in output, consumption, and welfare large capital outflows during recessions Such dynamics are consistent with experiences of many countries.
Investment-Portfolio-Optimisation
Hi, Do you have some savings and you wants to invest in shares but do not have any idea of how much shares to buy of which company with the minimal risk and highest return. Here you can calculate your discrete allocation of portfolio means your investment
Check-file-similarity-using-this-code-
Hi, Sometimes we have a number of programming files(let’s say 20) in which some lines of codes are common. So we need to check how much percentage of similarity index between different combinations. Today I am going to give you a simple way to check the similarity percentage between python files or any files in general.Always be sure , your files should in a folder and folder should be in correct directory. Just run the above shared code and see the magic you will get csv file containing similarity value between the files.
PySpark-Airport-Data-Analysis
Running some Spark SQL queries to answers some of the important use cases of this dataset
Dashboard-App--Rock-Physics
Dash App for Forward Modeling
Web-App-using-Dash
This is my first web app created using Dash package in python
pyresparser
A simple resume parser used for extracting information from resumes