Portfolio optimization with insider's initial information and counterparty risk
Caroline Hillairet, Ying Jiao

TL;DR
This paper analyzes how insider information about counterparty default risk affects portfolio optimization, demonstrating that insiders generally achieve higher utility but may be outperformed in extreme risk scenarios due to regulatory constraints.
Contribution
It models insider information using filtration enlargement, derives optimal strategies under constraints, and compares insider and standard investor outcomes both theoretically and numerically.
Findings
Insider generally attains higher expected utility.
Regulatory short selling constraints prevent infinite value processes.
In extreme risks, standard investors can outperform insiders through aggressive strategies.
Abstract
We study the gain of an insider having private information which concerns the default risk of a counterparty. More precisely, the default time \tau is modelled as the first time a stochastic process hits a random barrier L. The insider knows this barrier (as it can be the case for example for the manager of the counterparty), whereas standard investors only observe its value at the default time. All investors aim to maximize the expected utility from terminal wealth, on a financial market where the risky asset price is exposed to a sudden loss at the default time of the counterparty. In this framework, the insider's information is modelled by using an initial enlargement of filtration and \tau is a stopping time with respect to this enlarged filtration. We prove that the regulator must impose short selling constraints for the insider, in order to exclude the value process to reach…
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Taxonomy
TopicsCredit Risk and Financial Regulations · Stochastic processes and financial applications · Financial Markets and Investment Strategies
