Abstract:We provide results on the existence and uniqueness of equilibrium in dynamically incomplete financial markets in discrete time. Our framework allows for heterogeneous agents, unspanned random endowments and convex trading constraints. In the special case where all agents have preferences of the same type and all random endowments are replicable by trading in the financial market we show that a one-fund theorem holds and give an explicit expression for the equilibrium pricing kernel. If the underlying noise is … Show more
“…Cheridito et al [3] follow in the footsteps of Horst et al [11] to solve a problem of valuing a derivative in an incomplete market by equilibrium considerations. In Horst et al [11], the problem can be solved in a one-dimensional framework, since the derivative is assumed to complete the market.…”
Section: Lemma 32 There Is a One-to-one Correspondence Between The Fmentioning
confidence: 99%
“…In Horst et al [11], the problem can be solved in a one-dimensional framework, since the derivative is assumed to complete the market. Cheridito et al [3] do not impose this condition, which makes the analysis much more involved. The authors solve the problem in a discrete framework, but close their work with considerations on the continuous case.…”
Section: Lemma 32 There Is a One-to-one Correspondence Between The Fmentioning
confidence: 99%
“…Like above, we construct an auxiliary strategy π (3,1) for the third agent, replacing η 1 by η 3 , U 1 by U 3 , and F 1 by F 3 + λ 3 n−1 (X π (1,2) T + X π (2,2) T ). To account for the interdependence, we set λ n 1,2 :=…”
While trading on a financial market, the agents we consider take the performance of their peers into account. By maximizing individual utility subject to investment constraints, the agents may ruin each other even unintentionally so that no equilibrium can exist. However, when the agents are willing to waive little expected utility, an approximated equilibrium can be established. The study of the associated backward stochastic differential equation (BSDE) reveals the mathematical reason for the absence of an equilibrium. Presenting an illustrative counterexample, we explain why such multidimensional quadratic BSDEs may not have solutions despite bounded terminal conditions and in contrast to the one-dimensional case.
“…Cheridito et al [3] follow in the footsteps of Horst et al [11] to solve a problem of valuing a derivative in an incomplete market by equilibrium considerations. In Horst et al [11], the problem can be solved in a one-dimensional framework, since the derivative is assumed to complete the market.…”
Section: Lemma 32 There Is a One-to-one Correspondence Between The Fmentioning
confidence: 99%
“…In Horst et al [11], the problem can be solved in a one-dimensional framework, since the derivative is assumed to complete the market. Cheridito et al [3] do not impose this condition, which makes the analysis much more involved. The authors solve the problem in a discrete framework, but close their work with considerations on the continuous case.…”
Section: Lemma 32 There Is a One-to-one Correspondence Between The Fmentioning
confidence: 99%
“…Like above, we construct an auxiliary strategy π (3,1) for the third agent, replacing η 1 by η 3 , U 1 by U 3 , and F 1 by F 3 + λ 3 n−1 (X π (1,2) T + X π (2,2) T ). To account for the interdependence, we set λ n 1,2 :=…”
While trading on a financial market, the agents we consider take the performance of their peers into account. By maximizing individual utility subject to investment constraints, the agents may ruin each other even unintentionally so that no equilibrium can exist. However, when the agents are willing to waive little expected utility, an approximated equilibrium can be established. The study of the associated backward stochastic differential equation (BSDE) reveals the mathematical reason for the absence of an equilibrium. Presenting an illustrative counterexample, we explain why such multidimensional quadratic BSDEs may not have solutions despite bounded terminal conditions and in contrast to the one-dimensional case.
“…This can be interpreted as a fundamental liquidation value as in Kyle [42], a terminal dividend as in Kramkov [39], or the payoff of a derivative depending on an exogenous underlying as in Cheridito et al [15].…”
We study risk-sharing economies where heterogeneous agents trade subject to quadratic transaction costs. The corresponding equilibrium asset prices and trading strategies are characterised by a system of nonlinear, fully coupled forward–backward stochastic differential equations. We show that a unique solution exists provided that the agents’ preferences are sufficiently similar. In a benchmark specification with linear state dynamics, the empirically observed illiquidity discounts and liquidity premia correspond to a positive relationship between transaction costs and volatility.
We consider a class of generalized capital asset pricing models in continuous time with a finite number of agents and tradable securities. The securities may not be sufficient to span all sources of uncertainty. If the agents have exponential utility functions and the individual endowments are spanned by the securities, an equilibrium exists and the agents' optimal trading strategies are constant. Affine processes, and the theory of information-based asset pricing are used to model the endogenous asset price dynamics and the terminal payoff. The derived semi-explicit pricing formulae are applied to numerically analyze the impact of the agents' risk aversion on the implied volatility of simultaneously-traded European-style options.
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