Abstract
This paper considers the non-zero-sum stochastic differential game problem between two ambiguity-averse insurers (AAIs) with common shock. Each AAI’s surplus process consists of a proportional reinsurance protection and an investment in a money account, a stock and a credit default swap (CDS) with the objective of maximizing the expected utility of her relative terminal surplus with respect to that of her competitors. We consider default contagion risk of CDSs through a Markovian model with interacting default intensities. It is worthwhile to consider the uncertainty of the model on both the insurer herself and her competitors. In our model, we describe the surplus processes of two insurers by two jump-diffusion models with a common shock. Under jump-diffusion models, the robust Nash equilibrium strategies and the value functions for the all-default, one-default and all-alive case are derived under a worst-case scenario, respectively. Finally, through some numerical examples, we found some interesting results about the effects of some model parameters on the robust Nash equilibrium strategies, such as, the common shocks and the individual claims have the opposite effect on reinsurance investment.
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Acknowledgements
This work is supported by the National Social Science Foundation of China (Grant No. 22BTJ058), the Natural Science Foundation of Hunan Province,China (Grant No. 2023JJ30381), the Changsha Municipal Natural Science Foundation,China (Grant No. kq2208159), the Doctoral Research Start-up Fund Project of Nanyang Institute of Technology, the Interdisciplinary Sciences Project of Nanyang Institute of Technology, and the Research Center of Mathematics and Applied Mathematics of Nanyang Institute of Technology.
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Appendices
Appendix: Proofs of theorems, lemmas, and propositions
Proof of Proposition 2.3
Proof
According to the Eq. (2.3) and Itô’s formula, we have
where the equality \(\Delta \Phi _{i}(t,{\textbf {H}}(t))dH_{i}(t)=[\Phi _{i}(t,{\textbf {H}}^{i}(t-))-\Phi _{i}(t,{\textbf {H}}(t-))]dH_{i}(t),\) which follows from the fact that our default model excludes the occurrence of simultaneous defaults. Hence, if the ith CDS defaults, any other name \(m\ne i\) would not, and \(\Delta \Phi _{i}(t,{\textbf {H}}(t))=\Phi _{i}(t,{\textbf {H}}^{i}(t-))-\Phi _{i}(t,{\textbf {H}}(t-))\). If \(m\ne i\) CDS defaults, then \(dH_{i}(t)=0\) and hence the above equality still holds.
From Eq. (2.6) of Lemma 2.2, we have
Then, we have
Using \(\Phi _{i}(t,{\textbf {z}}^{i})=L_{i}\), we obtain
with \(C_{i}(0)=(1-H_{i}(0))\Phi _{i}(0,{\textbf {H}}(0))\in [-\upsilon _{i},L_{i}].\) \(\square \)
Proof of Lemma 3.1
Proof
It is that
and
then, we have \(\frac{\partial W_{i}(t, q_{i}(t))}{\partial q_{i}(t)}\) is increasing in \(q_{i}(t)\). On the other hand, \(\lim \limits _{q_{i}(t)\rightarrow \infty }\frac{\partial W_{i}(t, q_{i}(t))}{\partial q_{i}(t)}|_{q_{i}(t)=\infty }>0\) and \(\lim \limits _{q_{i}(t)\rightarrow 0}\frac{\partial W_{i}(t, q_{i}(t))}{\partial q_{i}(t)}|_{q_{i}(t)=0}=-(\lambda _{i}+\lambda )\alpha _{i} e^{r(T-t)}\eta _{i}\mu _{i}<0\). According the continuously of \(q_{i}(t)\in [0,\infty ]\) over time, there exists a solution \(q_{i}^{*}(t)\in [0,T]\) such that \(\frac{\partial W_{i}(t, q_{i}(t))}{\partial q_{i}(t)}|_{q_{i}(t)=q_{i}^{*}(t)}=0\), that is \(W_{i}(t, q_{i}(t))\) has a minimizer \(q_{i}^{*}(t)\). \(\square \)
Proof of Lemma 3.4.
Proof
Since \(\tilde{W}'(\phi _{i4})=\frac{\alpha _{i}}{\beta _{i4}}(\ln \phi _{i4}+1)+1\), it is easy to verify \(\tilde{W}'(\phi _{i4})\) is a decreasing function on \((0, e^{-\frac{\alpha _{i}+\beta _{i4}}{\alpha _{i}}})\) and increases on \((e^{-\frac{\alpha _{i}+\beta _{i4}}{\alpha _{i}}}, +\infty )\). Moreover, \(\lim \limits _{\phi _{i4}\rightarrow 0^{+}}\tilde{W}(\phi _{i4})=-\frac{1}{1+u_{i}}<0\), \(\lim \limits _{\phi _{i4}\rightarrow \infty }\tilde{W}(\phi _{i4})=\infty \). Therefore the function \(\tilde{W}(\phi _{i4})=0\) admits a unique positive root \(\phi _{i4}>0\). \(\square \)
Proof of Lemma 3.6.
Proof
Finding the first and second order partial derivatives of \(\hat{p}_{i}\) with respect to \(\pi _{i2}(t)\) as follows:
and
then, we have \(\lim \limits _{\pi _{i2}(t)\rightarrow \infty }\frac{\partial \hat{p}_{i}(t, \pi _{i2}(t))}{\partial \pi _{i2}(t)}|_{\pi _{i2}(t)=\infty }>0\) and \(\lim \limits _{\pi _{i2}(t)\rightarrow 0}\frac{\partial \hat{p}_{i}(t, \pi _{i2}(t))}{\partial \pi _{i2}(t)}|_{\pi _{i2}(t)=0}<0\). we know \(\frac{\partial \hat{p}_{i}(t, \pi _{i2}(t))}{\partial \pi _{i2}}\) is increasing in \(\pi _{i2}(t)\), then there exists a unique solution \(\pi _{i2}^{*}(t)\in [0,T]\) such that \(\frac{\partial \hat{p}_{i2}(t, \pi _{i2}(t))}{\partial \pi _{i2}(t)}|_{\pi _{i2}(t)=\pi _{i2}^{*}(t)}=0\), that is \(\hat{p}_{i}(t, \pi _{i2}(t))\) has a unique minimizer \(\pi _{i2}^{*}(t)\). \(\square \)
The proof of Lemma 3.8.
Proof
It is that
and
then, we have \(\lim \limits _{q_{i}(t)\rightarrow 0}\frac{\partial ^{2} W_{i}(t, q_{i}(t))}{\partial q^{2}_{i}(t)}|_{q_{i}(t)=0}>0\) and \(\lim \limits _{q_{i}(t)\rightarrow 0}\frac{\partial W_{i}(t, q_{i}(t))}{\partial q_{i}(t)}|_{q_{i}(t)=0}=-(\lambda _{i}+\lambda )\alpha _{i} e^{r(T-t)}\eta _{i}\mu _{i}<0\). we know \(\frac{\partial W_{i}(t, q_{i}(t))}{\partial q}\) is increasing in \(q_{i}(t)\), then there exists a unique solution \(q_{i}^{*}(t)\in [0,T]\) such that \(\frac{\partial W_{i}(t, q_{i}(t))}{\partial q_{i}(t)}|_{q_{i}(t)=q_{i}^{*}(t)}=0\), that is \(W_{i}(t, q_{i}(t))\) has a unique minimizer \(q_{i}^{*}(t)\). \(\square \)
The proof of Lemma 4.2.
Proof
Putting \(\phi _{i}^{*}\) and \(\phi _{m}^{*}\) into (4.2). Because that \(\phi _{i}^{*}\) and \(\phi _{m}^{*}\) are the deterministic and bound functions on [0, T], we have \(I(T)<\infty .\) \(\square \)
The proof of Lemma 4.3.
Proof
Substituting \((\pi ^{*},\phi ^{*})\) into (2.16), we have the wealth process under \((\pi ^{*},\phi ^{*})\)
For the candidate value function (2.20), we get
At first, we prove \(E^{P^{\phi _{i}*}}(\sup _{t\in [0,T]}|\hat{V}_{i}(t,\hat{X}^{\pi _{i}^{*}}(t),0,0)|^{4})<\infty \). \(\pi _{i}^{*},\phi _{i}^{*}\) and \(g_{i3}(t)\) are deterministic continuous functions, then are bounded on [0, T]. Substituting (6.3) into (3.14), there are three constants \(0<K_{1}<K_{2}<K_{3}\) such that
where
and the last unequal sign is due to the deterministic continuous functions \(\pi _{i}^{*},\phi _{i}^{*}\) are bounded on [0, T].
Firstly, it easy to check that
Applying Lemma 4.3 in Zeng and Taksar [47], we know that \(\exp \{8D_{1}(t)\}\), \(\exp \{8D_{2}(t)\}\), \(\exp \{4D_{3}(t)\}\), \(\exp \{8D_{4}(t)\}\), \(\exp \{8D_{5}(t)\}\) and \(\exp \{4D_{6}(t)\}\) are martingales, then
Applying (6.6), (6.7), according to Cauchy-Schwarz inequality, we have
Consequently, \(E^{P^{\phi _{i}*}}(\sup _{t\in [0,T]}|\hat{V}_{i}(t,\hat{X}_{i}^{\pi _{i}^{*}}(t),0,0)|^{4})<\infty \). Similarity, we can also prove
then the formula \(E^{P^{\phi _{i}*}}(\sup _{t\in [0,T]}|\hat{V}_{i}(t,\hat{X}_{i}^{\pi ^{*}}(t),{\textbf {H}}(t))|^{4})<\infty \) holds. The first part of Lemma 4.3 is proved.
Since f(t) is obviously bounded, we get
The first inequality follows from Cauchy-Schwarz inequality. The last inequality follows from (4.2). Lemma 4.3 is proved. \(\square \)
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Li, M., Huang, Y., Huang, Y. et al. Robust non-zero-sum stochastic differential game of two insurers with common shock and CDS transaction. Math Finan Econ (2024). https://doi.org/10.1007/s11579-024-00357-z
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DOI: https://doi.org/10.1007/s11579-024-00357-z