The essay delves into the impact of environmental uncertainty on asymmetric mispricing utilizing the data from listed firms in China spanning from 2007 to 2023. Our analysis reveals that environmental uncertainty amplifies stock mispricing within capital markets, whether upward or downward. Diverging from prior research, we distinguish between upward and downward mispricing and reveal the black box of environmental uncertainty affecting stock mispricing from dual channels. Specifically, environmental uncertainty intensifies upward mispricing through heightened earnings management and exacerbates downward mispricing by boosting investor irrationality. Furthermore, we explore the heterogeneous impact of different media coverage. In the downward mispricing sample, negative media exacerbated the relationship between the two, while positive coverage played a mitigating role. In the upward mispricing sample, only negative reports have a significant impact, and mitigate the impact of uncertainty on mispricing. Our research on media heterogeneity once again proves that it is a double-edged sword. Our research indicates that improving the capacity to recognize different mispricing mechanisms in various market directions can greatly boost decision-making efficiency. Meanwhile, it is vital to strengthen professional ethics in media organizations and encourage more objective reporting. These efforts can jointly contribute to improve he efficiency of emerging capital markets.

As China’s shadow banking sector expands, the impact of listed companies’ involvement in financial stability and the real economy accumulates increasing attention. Despite being a crucial channel for non-financial firms to participate in shadow banking, the literature has given limited consideration to the acquisition of wealth management products (WMPs). Using data from Chinese listed firms between 2007 and 2020, we analyze how excessive equity financing affects companies’ WMP acquisitions. Our findings indicate that over-financing significantly boosts WMP purchases among these firms, particularly in cases of private ownership, raised environmental uncertainty, and strict financing constraints.

Based on a compound random process including geometric Brownian motion and Poisson process, we established a model which can describe the environmental uncertainty more flexible. And then, we use a stochastic optimal control model to address the issue of resource allocation. Our study conclusions indicate the following: (1) if rare events can be described using a Poisson process, then the fixed-point theorem can be used to solve resource allocation scheme; and (2) if a certain asset or a certain department’s facing a rare event leads to a reduction in value, then the rare event will not only affect investment in this asset or department but will also have ramifications for investment in related assets or departments. After that, we briefly discuss the resource allocation issues of financial institutions and manufacturing enterprises. The results show that the uncertain, flexible environmental of financial institutions can improve the efficiency of asset allocation. Manufacturing companies can respond effectively and positively to such uncertainty through a flexible asset allocation strategy. The contribution of our paper lies mainly in its use of new methods to describe uncertainty. When we re-define the environment of uncertainty, the flexible resource allocation scheme can effectively mitigate the impact of random adverse effects of the environment. In addition, if the description methods are closer to the facts themselves, then the scheme for flexibility in resource allocation may also bring about an excess return.