Search results

In this paper, we develop various valuation models for closed-end mutual funds under different sets of stochastic processes for the underlying assets. Since we used different stochastic processes from previous literature, it was possible to derive more interesting implications regarding investment strategies, discount puzzles of the funds, and valuation models. In particular, by utilizing Brownian motions and optimal stopping time framework, we succeeded in developing more realistic valuation model, which indicates that we can understand more easily about decision makings regarding optimal timing of reorganization from the closed-end funds to open-ended funds, optimal timing of trading of closed-end funds to realize maximum profits, and optimal design of closed-end fund structure.

In this paper, we develop a specific valuation model far the American perpetual put option with uncertain exercise price and empirically verify that the closed-end fund (CEF) discount puzzle can be explained by a put model.Using available sample data of 56 CEFs for the most recent seven years, we find strong empirical evidence for our discount approach. We find no significant differences between the average discounts and average returns of domestic and international funds. However, the international funds seem to have significantly greater volatility of returns than that of domestic funds, implying that foreign financial assets could be priced differently from domestic funds.