3 citations · 6 across the 8 of their papers we have counts for
8 papers
A Tax-Efficient Model Predictive Control Policy for Retirement Funding
Kasper Johansson, Stephen Boyd
The retirement funding problem addresses the question of how to manage a retiree's savings to provide her with a constant post-tax inflation adjusted consumption throughout her lif…
A Markowitz Approach to Managing a Dynamic Basket of Moving-Band Statistical Arbitrages
Kasper Johansson, Thomas Schmelzer, Stephen Boyd
We consider the problem of managing a portfolio of moving-band statistical arbitrages (MBSAs), inspired by the Markowitz optimization framework. We show how to manage a dynamic bas…
Simple and Effective Portfolio Construction with Crypto Assets
Kasper Johansson, Stephen Boyd
We consider the problem of constructing a portfolio that combines traditional financial assets with crypto assets. We show that despite the documented attributes of crypto assets,…
Finding Moving-Band Statistical Arbitrages via Convex-Concave Optimization
Kasper Johansson, Thomas Schmelzer, Stephen Boyd
We propose a new method for finding statistical arbitrages that can contain more assets than just the traditional pair. We formulate the problem as seeking a portfolio with the hig…
Markowitz Portfolio Construction at Seventy
Stephen Boyd, Kasper Johansson, Ronald Kahn +2
More than seventy years ago Harry Markowitz formulated portfolio construction as an optimization problem that trades off expected return and risk, defined as the standard deviation…
A Simple Method for Predicting Covariance Matrices of Financial Returns
Kasper Johansson, Mehmet Giray Ogut, Markus Pelger +2
We consider the well-studied problem of predicting the time-varying covariance matrix of a vector of financial returns. Popular methods range from simple predictors like rolling wi…
Multi-armed Bandit Learning on a Graph
Tianpeng Zhang, Kasper Johansson, Na Li
The multi-armed bandit(MAB) problem is a simple yet powerful framework that has been extensively studied in the context of decision-making under uncertainty. In many real-world app…
Mixed Observable RRT: Multi-Agent Mission-Planning in Partially Observable Environments
Kasper Johansson, Ugo Rosolia, Wyatt Ubellacker +2
This paper considers centralized mission-planning for a heterogeneous multi-agent system with the aim of locating a hidden target. We propose a mixed observable setting, consisting…