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The purpose of this paper is to empirically examine the relationship between the level of underwriter spread and ownership structure by using data from Japanese IPO firms that are issued during the years 1997‐2002.

The paper uses regression analysis to determine the effect of the ownership structure (board, bank, affiliated venture capital firms) on underwriter spread and on the post‐issue operating performance of IPO firms.

This paper finds several results that are in contrast with previous studies. The ownership by board members is positively associated with the level of gross spread but is not associated with post‐issue operating performance. The presence of a commercial bank in the ownership structure of IPO firms decreases the gross spread and increases the post‐issue operating performance of IPO firms. Issuers pay a lower underwriting fee as the ownership share of the lead underwriter‐affiliated VC increases, unlike that of other VCs.

The results of this paper, supporting certification and monitoring hypotheses, contribute to academic research. Most previous studies do not support certification effects.

This study examines the relationship between managerial overconfidence and corporate financing decisions by constructing proxies for managerial overconfidence based on the track records of earnings forecasts in Japanese listed firms. We find that managers have the stable tendency to forecast overly upward earnings compared to actual ones and that their upward bias decreases the probability of issuing equity in the public market by about 4.7 percent per one standard error, which economically has the strongest impact on financing decisions. This tendency is observed when we employ alternative measures for managerial overconfidence and other model specifications. However, in private placements, the choice to offer equity is not always avoided by managers. This implies that managers place private equity with the expectation of the certification effect

The purpose of this study is to model the strategic thinking process, considering the different psychological traits of TMTs (top management teams) and how the technological dynamism affects the strategies framed together impacting the performance of the firm.

Modeling and simulation are done in this study using the system dynamics (SD) tool. The data are extracted using social media analytics, and the same is given as an input for the SDmodel, which is used for modeling and simulation of the interdependencies between the psychological factors, technological dynamism and firm performance. The analysis decodes how a change in the thinking process of a TMT has an impact on the performance of the company in an automobile market.

The study has explained how different psychological traits affect the thinking process of a TMT and how the strategies framed with this thinking behavior have an impact on firm performance.

The study is limited only to the automobile industry in India, and only partial psychological constructs were considered to examine their impact on firm performance. This study can be further extended by analyzing the same to various other industries along with many other psychological constructs.

The findings identify the change in behavior of the performance due to the thinking process and technological dynamism. This helps the top management to take into consideration different factors that affect the strategies framed for the company and what are the threshold points in the system that are to be focused on during the framing of a strategy.

The study fills the unattended gaps in the literature regarding how the psychological traits are interdependent and how their relationship is affecting the thinking process, which is going to have an impact on the behavior of the firm performance. It also adds to the literature of systems thinking.