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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 paper investigates the relationship between managerial sentiment and corporate investment in emerging capital markets. Further, we begin with the assertion that the positive impact of managerial sentiment on corporate investment varies according to the corporate life cycle. Lastly, we investigate whether the relationship between managerial sentiment and corporate investment can be moderated by factors like (1) economic policy uncertainty/geo-political risk, (2) size of the firm, (3) financial constraint, (4) industrial competition, and (5) Environmental Social and Governance (ESG) rating.

This study has considered Indian listed companies (465 firms) for the period spanning from 2003–2004 to 2022–2023. This study constructs the managerial sentiment using a novel large language model-financial bidirectional encoder representation from the Transformers (FinBERT), as well as on management discussion and analysis reports. Then, we employ fixed effect regression to investigate the relationship between managerial sentiment and corporate investment. Additionally, we use propensity score matching, two-stage least squares instrumental variables, and a two-step system generalized method of moments approach for robustness tests.

The findings show a positive and significant relationship between managerial sentiment and corporate investment. Additionally, our results demonstrate that this relationship is evident only during the growth and maturity phase of the corporate life cycle. Moreover, uncertainty pertaining to the economy and geopolitical issues, firm size, financial health, industry dynamics, and ESG disclosure also play a crucial role in shaping the investment-sentiment relationship.

The study is unique because it determines the relationship between managerial sentiment and corporate investment by using the novel FinBERT model. In addition, we have introduced a corporate life cycle, which is an essential aspect of our study. Additionally, this research was conducted in an emerging market with more information asymmetry and weaker disclosure rules. Thus, other emerging markets can benchmark the outcomes.

This study aims to propose a moderated mediation model to investigate the moderating effects of environmental, social and governance (ESG) performance on the relationship between inefficient investment and firm performance and the mediating effect of firms that participate in institutional research on the relationship between investment efficiency and performance. This study also analyses the heterogeneity of the corporate nature, intensity of industrial research and development (R&D), industrial competition and regional marketization.

This study uses a panel data fixed-effects model to conduct a regression analysis of 1,918 Chinese listed firms from 2016 to 2020. A Fisher’s permutation test is used to examine the differences between state-owned and nonstate-owned firms.

Inefficient investment negatively impacts corporate performance and higher ESG performance exacerbates this effect by attracting more institutional research which reveals more problems. State-owned enterprises perform significantly better than nonstate-owned enterprises in terms of ESG transformation. Industrial R&D intensity, competition and regional marketization also mitigate the negative effects of inefficient investment on corporate performance.

This study suggests that companies should consider inefficient investments that arise from agency issues in corporate ESG transformation. In addition, state-owned enterprises in ESG transformation should take the lead to achieve sustainable development more efficiently. China should balance regional marketization, encourage enterprises to increase R&D intensity, reduce industry concentration, encourage healthy competition and prevent market monopolies.

This study combines the agency and stakeholder theories to reveal how inefficient investments that arise from agency issues inhibit value creation in ESG initiatives.

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.

We develop a credit-risk model to study the informational role of investment in an economy susceptible to large liquidity shocks. Firms' investment decisions carry information about their asset quality, thereby mitigating informational frictions when firms enter bankruptcy. An increase in aggregate investment can reduce the informational value of investment, depressing firms' recovery values. Therefore, policies boosting investment can decrease debt and firm values by reducing the informational value of investment. The presence of debt overhang may enhance firm value by making firms' investment decisions more informative. We present suggestive empirical evidence consistent with model predictions on the relation between firms' investments and recovery rates.

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.

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.

The purpose of this study is to review the capital budgeting literature over the past decade.

Specifically, over the years 2004–2013, we review works appearing in the major academic journals in accounting, finance, and management. Further, we review the specialized academic journals in management accounting. We examine the frequency of articles by journal and year published, the type of research method applied, and the topic area studied. We then review the research findings by topic area.

We find 110 articles appearing in the selected journals. While the articles increase in frequency, the research methods applied are predominantly analytical and archival in nature with relatively few experiments, case studies, or surveys. Some progress is observed for capital budgeting techniques and new methods for structuring uncertainty. The studies find that the size of capital budgets is about right for companies with high financial reporting quality, for liquid companies, during periods of normal cash flow, when the budget is financed by equity, for companies when they first go public or first go private. Tax rates and financial reporting methods for depreciation and tax expenses distort capital budgets. Organization structure and performance measurement can distort capital budgeting. Individual differences, especially optimism and honesty, can influence capital budgeting decisions.

This review is limited to the major journals in accounting, finance, and management; and the specialized journals in management accounting. There is much research to be done on capital budgeting, especially case studies of actual practice and experiments related to individual and group decision processes.