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ECON6008 International Money and Finance - Quantitative Group Project: New-Keynesian small open- economy (SOE) model

The University of SydneyECON6008International Money and FinanceNew-Keynesian

The model you will analyze is a simplied version of the New-Keynesian small open- economy (SOE) model in Justiniano and Preston (2010), which in turn is based on the model in Monacelli (2005) and Gali and Monacelli (2005).

Numerical Methods for Financial Mathematics - Numerical Methods Exercises: Monte-Carlo Control Variate

LMU MünchenNumerical Methods for Financial MathematicsNumerical Methods ExercisesMonte-Carlo Control VariateBlackScholesModelJava

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.

QF633 C++ for Financial Engineering - Assignment 3: Order Manager

C++QF633C++ for Financial EngineeringSMUOrder ManagerSingapore

An order manager is a class which manages all the open orders, i.e. order with open_qty &amp;amp;gt; 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

C++QF633C++ for Financial EngineeringSMUSingapore

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

[2022] SMU - QF633 C++ for Financial Engineering - Course Project: Cryptocurrency Tick Data

SMUQF633C++ for Financial EngineeringCyrptocurrency Tick DataC++

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

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