Despite its importance to economic growth, the investment behavior of firms remains poorly understood. Existing models ignore irreversibility and the opportunity to wait for new information. Even if some recent literature accounts for these two characteristics, these models ignore information costs. This paper presents a framework for the valuation of investment opportunities accounting for information costs regarding the project cash-flows.We develop some basic models of irreversible investment to illustrate the option-like characteristics of investment opportunities under incomplete information. We show how optimal investment rules can be obtained using option pricing theory under incomplete information. It is possible to value real options and investment decisions using our approach in a context of incomplete information. Simulations are provided to illustrate our main results.
We analyse the time variations in the comovements of Latin American stock markets. Conditional correlations are estimated from the dynamic conditional correlation GARCH model. Then, Bai and Perron's (2003) structural break technique is employed to test for changing nature of market comovements. Main findings are as follows. First, the degree of cross-market comovements changed over time and has significantly increased since 1994. However, room for international diversification still remains largely possible. Second, the comovements are subjected to various regime shifts, essentially due to major economic events. Finally, stock markets move much more together in times of crisis.
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