Abstract
In most public companies in China, there are two thirds of shares that can't be traded freely in the secondary market. These illiquid shares, however, may be allowed to circulate unexpectedly one day. This paper delves into the investor's financial decision-making with restricted stock in a continuous-time framework. Accordingly, this paper assumes that removal of trade restriction arrives as a Poisson process. In the spirit of Merton(1969,1971), an analytical solution to the investor's optimal portfolio problem is derived and the price (or cost) of illiquidity can be calculated using numerical methods. Furthermore, the value of information is discussed in this framework. Numerical simulation shows that illiquidity has an important influence on the investor's optimal strategy. This model may provide a theoretical framework to assess the cost of state-owned equities (SOEs).
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