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We solve the problem of optimal risk management for an investor holding an illiquid, alpha-generating fund and hedging his/her position with a liquid futures contract. When the investor is subject to a lower bound on net return, he/she is forced to reduce ...
Infrastructure (asset) risk management is essential for a resilient environment. Several industries are concerned to improve their building asset preparedness subject to seismic hazard. To this end, the development of software tools that quantify and asses ...
This paper proposes a nonmodel-based framework for estimating story-based engineering demand parameters (EDPs) in instrumented steel frame buildings with steel moment-resisting frames (MRFs). The proposed framework utilizes a wavelet-based damage-sensitive ...
The study consists of two interrelated parts. In the first part, we aim to identify the best predictive model of day-ahead electricity prices. In particular, we verify the existence of a dependence of the spot price on power generation and variable costs o ...
Bitcoin, as well as many of its successors, require the whole transaction record to be reliably acquired by all nodes to prevent double-spending. Recently, many blockchains have been proposed to achieve scale-out throughput by letting nodes only acquire a ...
Chemical process optimization problems often have multiple and conflicting objectives, such as capital cost, operating cost, production cost, profit, energy consumptions and environmental impacts. In such cases, Multi-Objective Optimization (MOO) is suitab ...
At COP21, about 160 countries proposed the so-called INDCs that define GHG abatement objectives by 2030. While encouraging, these commitments are not ambitious enough to achieve the 2°C threshold by 2100, and further negotiations are needed for sharing the ...
This thesis examines the optimal mode of financing for banks and financial institutions. The first chapter, which is a joint work with Prof. Jean-Charles Rochet, investigates how Systemically Important Financial Institutions (SIFIs) should be financed. The ...
Compressed air energy storage technologies can improve the supply capacity and stability of the electric- ity grid, particularly when fluctuating renewable energies are massively connected. While incorporating the combined cooling, heating and power system ...
We consider multi-agent decision making, where each agent optimizes its cost function subject to constraints. Agents’ actions belong to a compact convex Euclidean space and the agents’ cost functions are coupled. We propose a distributed payoff-based algor ...