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The purpose of this paper is to empirically examine the extent at which idiosyncratic and financial market uncertainty affect the UK private manufacturing firms' investment decisions.

A firm‐level panel data covering the period from 1999 to 2008 drawn from the Financial Analysis Made Easy database was analyzed using the system‐generalized method of moments (GMM) technique to purge time‐invariant unobserved firm‐specific effects and to mitigate the potential endogeneity issues.

The results from the two‐step robust system‐GMM estimation indicate that firms significantly reduce their capital investment expenditures when uncertainty (measured by either form) increases. The findings also reveal that private firms' investment is more sensitive to idiosyncratic uncertainty than to financial market uncertainty. The results related to firm characteristics suggest that the firm‐specific variables such as debt‐to‐assets ratio, growth of sales and cash flow‐to‐assets ratio are also important in the determination of private firms' investment. The sensitivity analysis confirms that the findings are robust to an alternative method of estimation as well as to an alternative measure of idiosyncratic uncertainty.

The findings of the paper are useful for firms' investment decisions and authorities in designing effective fiscal and monetary policies.

The main value of this study is to investigate the effects of both idiosyncratic and financial market uncertainty on the investment decisions of private limited manufacturing firms.

To look at investor reactions to US investments made in India. Specifically, the authors look at the stock price reaction when US firms invest in the Indian market.

The authors look at investor reactions to US investments made in India, using event study methodology.

The authors' results indicate that there is a variation in market's reaction across firms belonging to different industries. They find mixed investor response to investments in India. The firms experience both positive and negative abnormal returns. There are also number of firms for which they do not get any significant results. Also, possible reasons for why there were no significant results for some firms: small investment by US firms in comparison to total investments, and most of the investments studied were sequential and not the first investment by a firm to Indian market. They also carry out a regression analysis, where they regress abnormal returns on important firm level characteristics, such as firm size, cash flows, and research and development expenditure. The authors find firm size has a significant positive impact on abnormal returns.

There is a need to carry out this study for a larger sample size over a larger time period, such that one can distinguish between first time investment and sequential investments. On average for their sample, investment in India by the US firms is small relative to their overall investment. This explains the lack of investor reaction for some cases. For future studies, it would be useful to look at high‐investment sectors in India.

Multinational network hypothesis, in line with internalization theory argue that due to differential degree of economic development between USA and developing countries, US firms' investments in these countries will enhance their multinational network. The multinational expansion will in turn substantially enhance firms' ability to internalize its foreign operations profitably, increasing shareholders' wealth. The authors do find these for some US firms.

There are no studies to the best of our knowledge on the Indian market.

This study examines the impact of environmental, social and governance (ESG) performance on cross-region investment in China.

This study utilized firm-level data from the China Stock Market and Accounting Research database covering 2009 to 2021, comprising 3,600 Chinese listed firms. Cross-region investment activities were measured using data on establishing subsidiaries across regional borders obtained from the TianYanCha website. Besides, this study also implemented the instrumental variables (IV) and difference-in-differences approach to address potential endogeneity issues. The panel Poisson and panel negative binomial models are used for robustness tests.

The findings indicate that companies with better ESG performance are more likely to establish cross-region subsidiaries, positively affecting cross-regional investment activities. Strong ESG performance reduces financing constraints, enhances information transparency and improves corporate reputation and resource allocation efficiency, thereby increasing cross-regional investment. Well-established ESG performance also helps overcome judicial barriers. Moreover, cross-region investments driven by ESG are less motivated by tax avoidance, pollution transfer and management self-interest.

We focus on listed companies in China, which may limit the applicability of our conclusions to other regions. Our measurement of cross-region investment might also underestimate its extent due to diverse investment methods. We suggest two future research directions: first, studies could explore the future performance of ESG-facilitated cross-region investments; second, further analysis could assess whether corporate ESG performance effectively dismantles administrative barriers and mitigates market segmentation.

Under China’s distinctive market segmentation phenomenon, this study fills a gap by providing new causal evidence of the role of managerial performance in mitigating capital flow boundaries.

This study explores the interplay between economic policy uncertainty (EPU) and corporate investment, with a focus on how corporate diversification influences this relationship based on a diverse sample of developed and emerging 22 countries firms from year 2000–2020 investment.

This study uses the ordinary least square regression method with year, industry, country fixed effect. Also, robustness tests including two stage least square, propensity score matching, subsampling analysis applied to support the main findings.

Grounded in the real options perspective and financial constraints theory, the research reveals that diversified firms mitigate the adverse impact of EPU on corporate investment. Empirical findings from a sample of listed firms across 22 countries (2000–2020) demonstrate that, during high EPU, companies generally limit investment, in line with the real options perspective. However, diversified firms show a reduced negative impact highlighting diversification’s moderating role. Notably, sub-sampling analysis indicates that the moderating impact of corporate diversification is more pronounced in developed economies than emerging economies with related diversification measure and vice versa with unrelated diversification measure.

This research highlights the strategic significance of corporate diversification in alleviating the effects of economic uncertainty, with implications for both developed and emerging economies’ firms’ strategic decision-makers.

Our study is the first which highlighted the role of corporate diversification between economic policy uncertainty and firm investment based on 22 emerging and developed economies from around the world.

The purpose of our study is to examine the functioning of internal capital markets (ICMs) within business groups in Iran. We document how the ultimate owner's economic interests in affiliated firms influence their investment and dividend policies.

Using hand-collected data on the ownership structures of Iranian firms, we first identify group-affiliated firms using Almeida et al.’s (2011) method. Having identified business groups, we test a number of hypotheses concerning the dynamics of the ICMs and the implications of the ultimate owner’s incentives for affiliated firms’ behavior.

We first demonstrate that investments of group-affiliated firms are less sensitive to their own cash flow (as compared to stand-alone firms) but are sensitive to the cash flows of other firms affiliated with the same group near or at the bottom of the ownership structure. We next find significant variation in dividend policy within groups, with notably higher dividends for firms close to the ultimate owner. Furthermore, we find that higher investments by firms close to the owner lead to lower dividends by firms positioned far from the owner, but the reverse does not hold.

We are the first to examine the effect of group-affiliated firms’ investments on the dividend policies of other firms based on their position within the group. Our findings illuminate how business groups prioritize funding investments in their closely held firms over paying dividends to outside investors in firms positioned farther from the group owner.

This study aims to investigate the impact of quantity-based and price-based monetary policy on corporate investment in India. Also the study investigates the impact of firm-level factors on corporate investment under quantity-based and price-based monetary policy.

The study is based on sample of 3,782 non-financial Indian firms (45,238 observations) and the data has been collected for a period 2000–2023. The study applies instrument variable approach to arrive at the results.

The study finds that both quantity-based and price-based monetary policy significantly affects corporate investment of firms and the transmission of monetary policy to corporate investment is constrained by firm-specific factors. This paper find that firm-specific factors play a significant role in transmitting the effects of both quantity-based as well as price-based monetary policy respectively and such results have also been witnessed across manufacturing and non-manufacturing sectors.

To the best of the authors’ knowledge, this is the first study in the Indian context that examines the impact of quantity-based and price-based monetary policy on corporate investment.

This paper focuses on the potential advantages of strategic investment models in examining firm investment behavior. Strategic investment models are derived from rigorous modeling techniques grounded on formal analytical models, and they have been widely applied in corporate finance and economics to examine the problem of firm underinvestment. In this paper, we present an overview of strategic investment models, including empirical applications that highlight their methodological strengths. We conclude that the empirical application of such investment models in the context of strategic management research presents research opportunities in many new directions.

The relevance of finance for strategy is probably never greater than during a recession. We argue that the strategy literature has been virtually silent on the issue of recessions, and that this constitutes a regrettable sin of omission. Recessions are also periods when the commonly held view of financial markets in the strategy literature – efficient, and therefore strategically irrelevant – is particularly misplaced. A key route to rectify this omission is to focus on how recessions affect investment behavior, and thereby firms’ stocks of assets and capabilities which ultimately will affect competitive outcomes. In the present chapter, we aim to contribute by analyzing how two key aspects of recessions, demand reductions and reductions in credit availability, affect three different types of investments: physical capital, R&D and innovation, and human- and organizational capital. We synthesize and conceptualize insights from finance- and macroeconomics about how recessions affect different types of investments and find that recessions not only affect the level of investment, but also the composition of investments. Some of these effects are quite counterintuitive. For example, investments in R&D are both more and less sensitive to credit constraints than physical capital is, depending on available internal finance. Investments in human capital grow as demand falls, and both R&D and human capital investments show important nonlinearities with respect to changes in demand.

We analyze the role of trust as a driver of speculative investment decisions in technology firms.

Structural Equation Modeling analysis in the context of blockchain technology supports our hypotheses.

Our findings indicate that a general propensity to trust technology leads to trusting beliefs in a service based on technology and that trusting beliefs in a technological service leads to a higher propensity to invest in any firm associated with that service. In addition, we show that in a non-technological context, there is no evidence for such an effect of trusting beliefs in a service on investment decisions. These results support the notion that trusting beliefs are facilitators of speculative investment in technology firms.

The research advances knowledge about the influence of trust in technology on investment decisions; its findings can help build new theoretical models regarding investment decisions using Fintech.

For investors, it is important to realize the potential bias identified in this study, so they can actively avoid adhering to it, thus avoiding exposure to unnecessary risk. Further, beyond individual investors, investment firms take active measures to avoid biases in their own decision-making. Banks and investment firms can help guide their clients about trust-based bias when building their investment portfolio.

Although trust in information systems has been studied extensively, research on the relationship between trust in technology and decisions to invest in technology-related firms is limited.

Advisors play a key role in the mergers and acquisitions (M&A) process, but research to date has rarely focused on how their influence impacts these transactions. The present chapter takes stock of the present literature on M&A advisors from finance, economics, and management in order to integrate the currently diverging research traditions into a coherent framework. The current research has focused on proximal acquisition outcomes, like acquisition premiums or expected performance in the form of cumulative abnormal returns, but there is limited theoretical understanding of the advisors impact on the post-acquisition period. Moreover, while the role of advisor reputation has been highlighted on both the management and finance literatures as an important aspect of the role advisors play in the M&A process, there seems to be much to be addressed. Furthermore, and perhaps most importantly, the nature of the relationship between the advisor and the acquirer or target presents challenges to researchers where the advisor acts both as a provider of expertise in the M&A process, but may be simply acting on their own best interest. The new framework that the authors present here provides management scholars with a roadmap into a cohesive research agenda that can inform our theoretical understanding of the role of M&A advisors.