We consider multistage bidding models where two types of risky assets (shares) are traded
between two agents that have different information on the liquidation prices of traded
assets. These prices are random integer variables that are determined by the initial
chance move according to a probability distribution p over the
two-dimensional integer lattice that is known to both players. Player 1 is informed on the
prices of both types of shares, but Player 2 is not. The bids may take any integer values.
The model of n -stage bidding is reduced to a zero-sum repeated game with
lack of information on one side. We show that, if liquidation prices of shares have finite
variances, then the sequence of values of n-step games is bounded. This makes it
reasonable to consider the bidding of unlimited duration that is reduced to the infinite
game G ∞ ( p ). We give the solutions for these
games. Optimal strategies of Player 1 generate random walks of transaction prices. But
unlike the case of one-type assets, the symmetry of these random walks is broken at the
final stages of the game.
[1]
Bernard De Meyer,et al.
On the strategic origin of Brownian motion in finance
,
2003,
Int. J. Game Theory.
[2]
Bernard De Meyer,et al.
Price dynamics on a stock market with asymmetric information
,
2007,
Games Econ. Behav..
[3]
Victor K. Domansky,et al.
Repeated games with asymmetric information and random price fluctuations at finance markets: the case of countable state space
,
2009
.
[4]
V. Domansky.
Symmetric representations of distributions over $\mathbb{R}^2$ by distributions with not more than three-point supports
,
2011,
1103.0174.
[5]
V. Domansky.
Symmetric representations of bivariate distributions
,
2013
.
[6]
John C. Harsanyi,et al.
Games with Incomplete Information
,
1994
.
[7]
Gerhard Winkler,et al.
Extreme Points of Moment Sets
,
1988,
Math. Oper. Res..
[8]
Robert J. Aumann,et al.
Repeated Games with Incomplete Information
,
1995
.