Search Results for author: Çağın Ararat

Found 9 papers, 1 papers with code

Decomposable sums and their implications on naturally quasiconvex risk measures

no code implementations14 Jan 2022 Çağın Ararat, Barış Bilir, Elisa Mastrogiacomo

The notion of convexity index, defined in 1980s for finite-dimensional vector spaces, plays a crucial role in the discussion of decomposable sums.

MAD Risk Parity Portfolios

no code implementations23 Oct 2021 Çağın Ararat, Francesco Cesarone, Mustafa Çelebi Pınar, Jacopo Maria Ricci

In this paper, we investigate the features and the performance of the Risk Parity (RP) portfolios using the Mean Absolute Deviation (MAD) as a risk measure.

Vector Optimization with Stochastic Bandit Feedback

no code implementations23 Oct 2021 Çağın Ararat, Cem Tekin

We introduce vector optimization problems with stochastic bandit feedback, in which preferences among designs are encoded by a polyhedral ordering cone $C$.

Dual representations of quasiconvex compositions with applications to systemic risk

no code implementations29 Aug 2021 Çağın Ararat, Mücahit Aygün

Motivated by the problem of finding dual representations for quasiconvex systemic risk measures in financial mathematics, we study quasiconvex compositions in an abstract infinite-dimensional setting.

Portfolio optimization with two quasiconvex risk measures

no code implementations11 Dec 2020 Çağın Ararat

We study a static portfolio optimization problem with two risk measures: a principle risk measure in the objective function and a secondary risk measure whose value is controlled in the constraints.

Portfolio Optimization Vocal Bursts Valence Prediction

Pareto Active Learning with Gaussian Processes and Adaptive Discretization

1 code implementation24 Jun 2020 Andi Nika, Kerem Bozgan, Sepehr Elahi, Çağın Ararat, Cem Tekin

We consider the problem of optimizing a vector-valued objective function $\boldsymbol{f}$ sampled from a Gaussian Process (GP) whose index set is a well-behaved, compact metric space $({\cal X}, d)$ of designs.

Active Learning Gaussian Processes

Set-Valued Risk Measures as Backward Stochastic Difference Inclusions and Equations

no code implementations14 Dec 2019 Çağın Ararat, Zachary Feinstein

Scalar dynamic risk measures for univariate positions in continuous time are commonly represented as backward stochastic differential equations.

Portfolio optimization with two coherent risk measures

no code implementations25 Mar 2019 Tahsin Deniz Aktürk, Çağın Ararat

We provide analytical results for a static portfolio optimization problem with two coherent risk measures.

Decision Making Portfolio Optimization +1

Computation of systemic risk measures: a mixed-integer programming approach

no code implementations20 Mar 2019 Çağın Ararat, Nurtai Meimanjan

Systemic risk is concerned with the instability of a financial system whose members are interdependent in the sense that the failure of a few institutions may trigger a chain of defaults throughout the system.

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