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Financial EngineeringFinancial Market金融工程Financial MathematicsFinance
[2022] SMU - QF633 C++ for Financial Engineering - Course Project: Cryptocurrency Tick Data
Financial EngineeringFinancial Market金融工程Financial MathematicsFinance
Complete the FitSmiles function in VolSurfBuilder.h. It groups the market tick data by expiry date, pass the data of each expiry to the FitSmile function in the smile model to fit the model to the market data, and calculate the fitting error
QF633 C++ for Financial Engineering - Course Project: Cryptocurrency Tick Data
Financial EngineeringFinancial Market金融工程Financial MathematicsFinance
Complete the FitSmiles function in VolSurfBuilder.h. It groups the market tick data by expiry date, pass the data of each expiry to the FitSmile function in the smile model to fit the model to the market data, and calculate the fitting error
QF633 C++ for Financial Engineering - Assignment 3: Order Manager
Financial EngineeringFinancial Market金融工程Financial MathematicsFinance
An order manager is a class which manages all the open orders, i.e. order with open_qty > 0. The order manager should keep the records in a std::vector in a sorted manner
QF633 C++ for Financial Engineering - Assignment 4 - L3 Book Buidling
Financial EngineeringFinancial Market金融工程Financial MathematicsFinance
During the lecture, we have discussed the implementation of Add, Delete and Replace operations. In addition to the above three, there’s another common type of order update message, i.e. the Order Execution Update. It is used to inform a order with given order_id is executed by exec_qty
Cloud Computing (COMM034) Coursework: Monte Carlo method
Financial EngineeringFinancial Market金融工程Financial MathematicsFinance
To demonstrate your understanding of how to critically explain, and construct, a Cloud application using multiple services across Cloud providers, involving user-specifiable scaling.
Numerical Methods for Financial Mathematics - Numerical Methods Exercises: Monte-Carlo Control Variate
Financial EngineeringFinancial Market金融工程Financial MathematicsFinance
In this exercise you should implement a Monte-Carlo control variate to improve the convergence of the Monte-Carlo integration by reducing the variance. A control variate is (usually) product and model dependent. This is a clear disadvantage of the method. Nevertheless, it can achieve impressive improvements.
MATH40082 Computational Finance Assignment No. 1: Monte Carlo Methods
Financial EngineeringFinancial Market金融工程Financial MathematicsFinance
The trader has calibrated a specialised risk neutral process for some underlying stock price. Given the current stock is S0, market prices indicate the risk-neutral distribution of the stock price at time t is given by
BUS 215F/FIN 215F Python and Applications to Business Analytics - Exercise 1. Foreign Exchange (FX) Arbitrage
Financial EngineeringFinancial Market金融工程Financial MathematicsFinance
The foreign exchange (FX) market, where one currency is traded (exchanged) for another, is the largest financial market in the world, with about 5 trillion US dollars (USD) being traded everyday.
COMP226 Computer-Based Trading in Financial Markets - Assignment 2 Strategy Development
Financial EngineeringFinancial Market金融工程Financial MathematicsFinance
The trading strategy that you should implement is a triple moving average (TMA) momentum strategy, which is described in slides 4.7. The specification of the strategy and the functions that it should comprise are given in full detail, so the correctness of your code can and will be checked automatically
CPT206 Computer Programming for Financial Mathematics - Coursework 3: Property portfolio management system
Financial EngineeringFinancial Market金融工程Financial MathematicsFinance
The aim of this coursework is to build a program to build a property portfolio management system
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