OMAR KAYKHUSRAW

Welcome to my page. I am a final year PhD candidate at King's College London under the supervision of Georgios Chortareas and George Kapetanios. My research focuses on money/macro and my thesis concerns the natural rate of interest. View my JMP below:

Job Market Paper

Prior to my doctorate, I read Economics at the University of Cambridge and Philosophy, Politics and Economics at the University of London. I enjoy studying the game of chess, formerly playing for the Cambridge University Chess Club. View my abridged CV below:

Curriculum Vitae

Working Papers

Equilibrium Interest Rates and Monetary Policy (Mis)perceptions,
joint with Georgios Chortareas and George Kapetanios. Preparing.

Falling Stars in Small Open Economies,
joint with Georgios Chortareas. Preparing.

Longer-Run Equilibrium Interest Rates,
Kaykhusraw, O. 2023. Under review.

Research in Progress

Stellar Classification: Decomposing the R-Stars

Balkanization: A Monetary Allegory,
joint with Georgios Chortareas and Pierre Siklos.

A Buffer Stock Approach to Foreign Exchange Reserves,
joint with Georgios Chortareas and George Kapetanios.

Market Perceptions of the Natural Rate of Interest,
joint with Georgios Chortareas and Pierre Siklos.

Current Teaching

Graduate Teaching Assistant, King's College London,
Macroeconomics (Postgraduate), 2020 to Present.

Assistant Professor of Economics, Northeastern University,
Macroeconomics I/II, Econometrics II/III, 2020 to Present.

Previous Teaching

Graduate Teaching Assistant, King's College London,
Mathematics for Economists (Undergraduate), 2022.

VAR Historical Decomposition

This function takes in the output from the VAR() function (see vars package) and computes the vector autoregression historical decomposition. It is an abridged translation of Cesa-Bianchi's MATLAB code (in the VAR-Toolbox) designed for R.

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Gaussian Error Propagation

This function determines the uncertainty (or error) of any mathematical expression containing estimated variables with uncertainties by taking the partial derivatives with respect to each variable multiplied by their uncertainty and added in quadrature.

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Adapted HLW (2017) Model

This code is used to estimate the natural rate of interest using an annually adapted Holston, Laubach and Williams (2017) multi-stage maximum likelihood estimation procedure, where the likelihood function is computed by the Kalman filter.

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Elements

i = 0;

while (!deck.isInOrder()) {
    print 'Iteration ' + i;
    deck.shuffle();
    i++;
}

print 'It took ' + i + ' iterations to sort the deck.';