Changbo Yang (bobosky)

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IPythonScripts

Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio Optimisation, Machine Learning and Deep Learning

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loman

Loman is a Python library designed to allow quantitative researchers to control complex live updating calculation processes

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Option-Pricing

Option pricing with various models (Black-Scholes, Heston, Merton jump diffusion, etc) and methods (Monte Carlo, finite difference, Fourier).

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dynamic-grasping

[IROS 2021] Dynamic Grasping with Reachability and Motion Awareness

MF_MBS_Default_Risk

Analysis of multifamily mortgage backed security default risk.

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distance_to_default

Solves for the naive, direct and iterative (KMV) distance to default and probability of default for firms from 1970 to 2015.

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cdstools

For calculating CDS spreads and bootstrapping hazard rates from CDS spreads

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moonbot_self_recognition

This repository includes packages for control, simulation, and self-recongnition algorithm for modular quadrupedal robot, "Moonbot".

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Robotics_lab

This repository contains all the packages created in and for the robotics lab

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FE_Projects

Financial Engineering Projects

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Financial-Engineering

Financial Engineering

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RMaFI

Solutions for exercises from John C. Hull's Risk Management and Financial Institutions

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Merton-NIG-Probability-of-Default

The code of the EM algorithms and the calculation of probability of default

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fast_rboost_bins

FastRealBoostBins: An ensemble classifier for fast predictions implemented in Python using numba.jit and numba.cuda

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Simulation

Simulation codes for derivatives pricing

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FXIncome

A quantitative tool for fixincome instrument

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notes

Random notes

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Bonds_Assesments-

Tool that could be used to assess basic credit risks and OAS rates on bonds

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OeconOnlineAppendix

An online appendix for my final thesis, presented for the MSc Advanced Economics and Finance degree.

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yieldcurve_interpolation

Estimated daily continuous yield curve & instantaneous forward rate curve by fitting cubic spline function for a Q1 of January 2020. We used each of the 78 dates in Q1 of January 2020 to price bonds with 17 maturity dates using data science libraries of python like GEKKO, NumPy, Pandas and matplotlib for plotting the curves

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ChessROS2

ROS2 package to play chess with moveit based robot

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BondPricing

This was an assignment for school

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