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This paper aims to investigate the relationship between uncertainty and corporate cash holdings with the moderating role of political connections.

We employ fixed effects estimation on a panel dataset of 669 Vietnamese listed firms over the 2010–2020 period, with one- and two-way standard error clustering. We conduct various robustness tests, including two-stage least squares/instrumental variable and generalized method of moments regressions, alternative cash holding measure, and additional controls for macroeconomic conditions and ownership types.

The effect of uncertainty on cash holdings is weakened for firms with political connections relative to those without the connections. Although general firms depend on cash flows to adjust their cash holding behavior when uncertainty increases, our findings suggest that politically connected firms do not rely on internal cash flows to accumulate cash when confronted high uncertainty.

Our findings on the role of political connections in moderating the relationship between cash holding and economic policy uncertainty have practical implications for policymaking. Since political connections serve as a buffer for a firm’s liquidity, firms may want to seek those connections, which can, in turn, lead to increasing informal costs and unfair business environment.

This is the first study investigating the role of political connections to the nexus of cash, cash flow and uncertainty, providing novel evidence regarding the less dependence on internal cash flows to save cash by politically connected firms. Second, the paper enriches the literature on the motives of cash holdings by proposing a modified agency view in the context of weak investor protection. Therefore, our findings strengthen the explanation for the positive effect of uncertainty on firms’ cash holdings in emerging markets.

This study aims to investigate the influence of economic policy uncertainty (EPU) and geopolitical risk (GPR) on the relationship between internal cash flow and external financing in an emerging market, Saudi Arabia. It also examines the role of asset tangibility and financial crisis in establishing this relationship.

The sample was taken from non-financial sector companies listed on the Saudi Stock Exchange between 2002 and 2019. The data were analyzed using panel data regression analysis, including ordinary least squares and fixed effects model. The author addresses potential endogeneity through the generalized method of moments.

This study found that both EPU and GPR reduce the sensitivity of external financing to internal cash flow. This implies that firms depend more on internally generated funds during periods of increased EPU and GPR. Besides, this study found that the influence of EPU and GPR on the sensitivity of external financing to internal cash flow is more (less) negative for more tangible firms (during the financial crisis period). This result implies that Saudi firms boasting a higher level of tangibility are more flexible when it comes to seeking external financing. However, the presence of uncertainty during the crisis period makes the external financing costly, and therefore, firms will be less likely to raise funds from external sources.

This study has important implications for managers, policymakers and regulators. First, the paper findings provide insights for corporate decision-makers in helping them to focus on internal funds to finance their investment during uncertain times. Second, the findings help managers to understand the role of asset tangibility in raising external funding when firms face financial constraints due to uncertainty. Third, this study also helps corporates to focus on internal funds to finance their investment during the crisis period because EPU and GPR increase the cost of external finance. Finally, the results provide guidelines for policymakers and regulators to make appropriate policy measures to increase the easy availability of external finance during periods of increased EPU and GPR.

This paper is the first to shed light on the impact of internal funds on external financing while paying close attention to the role of EPU and GPR.

Uncertainty affects all aspects of the property market, but one area where the impact of uncertainty is particularly significant is within feasibility analyses. Any development is impacted by differences between market conditions at the conception of the project and the market realities at the time of completion. This paper sets out to address this issue

The feasibility study needs to address the possible outcomes based on an understanding of the current market. This requires the appraiser to forecast the most likely outcome relating to the sale price of the completed development, the construction costs and the timing of both. It also requires the appraiser to understand the impact of finance on the project.

This allows the appraiser to address the issues of uncertainty involved and thus provide the decision maker with a better understanding of the risk of development. This technique is then refined using a “two‐dimensional technique” to distinguish between “uncertainty” and “variability” and thus create a more robust model.

The feasibility study needs to address the possible outcomes based on an understanding of the current market. This requires the appraiser to forecast the most likely outcome relating to the sale price of the completed development, the construction costs and the timing of both. It also requires the appraiser to understand the impact of finance on the project.

This paper aims to investigate how the global financial crisis affects the relationship between uncertainty avoidance culture and corporate cash holdings.

This study develops a research model in which cash holdings ratio is a function of post-crisis period dummy, Hofstede’s cultural dimension of uncertainty avoidance, their interactive term and control variables. The research sample includes 188,264 observations from 26,509 firms incorporated in 44 countries between 2003 and 2016.

This study finds that the effect of uncertainty avoidance culture on firm cash holdings is stronger in the post-crisis period from 2008 to 2016. This effect is stronger for financially constrained firms. In addition, the research findings show that uncertainty avoidance culture is more effective in cash–cash flow sensitivity over the post-crisis period.

Prior studies show that uncertainty avoidance culture positively affects corporate cash reserves. However, the authors only examine the effect of uncertainty avoidance culture on cash holdings in a static environment. This paper investigates this effect under the impact of the global financial crisis – an exogenous shock.

Valuation is the process of estimating price. The methods used to determine value attempt to model the thought processes of the market and thus estimate price by reference to observed historic data. This information is utilised in the discounted cash flow (DCF) valuation model to determine the single point valuation figure. However, the valuation will be affected by uncertainties: uncertainty in the comparable data available; uncertainty in the current and future market conditions and uncertainty in the specific inputs for the subject property. These input uncertainties will translate into an uncertainty with the output figure, the estimate of price. This paper discusses ways in which uncertainty can be incorporated into the DCF model.

This paper looks at the way in which uncertainty can be incorporated into the explicit DCF model. This is done by recognising that the input variables are uncertain and will have a probability distribution pertaining to each of them. Thus by utilising a probability‐based valuation model (using Crystal Ball) it is possible to incorporate uncertainty into the analysis and address the shortcomings of the current model.

The outcome of introducing uncertainty in the inputs is to produce a range of different answers. The central tendency of this distribution is very close to the single point estimate of the static model, yet the user of the technique now benefits from an understanding of the upside and downside risk pertaining to this single point estimate.

This study contributes significantly to the practical application of probability‐based models to valuation. In particular, the findings from the study will be useful for clients to understand better the context in which a valuation figure is provided to them.

This paper aims to investigate the combined effect of economic policy uncertainty (EPU) and the firm life cycle on the degree of accrual-based earnings management of publicly traded companies in the USA and Brazilian stock markets.

The EPU index used was the one developed by Baker et al. (2016), the Kothari et al. (2005) model was used in the main analysis to obtain the discretionary accruals and the classification of firms into different life cycles was based on the Dickinson (2011) approach, which relies on the sign of operating, investment and financing cash flows. The methodology includes correlation matrix and panel regression with fixed effects.

The overall results for the USA sample suggest that economic policy uncertainty does have a heterogeneous influence on the firms’ accrual earnings management conditional on their life cycle where firms in the introduction, growth and decline stages decrease this practice when policy uncertainty increases. For the Brazilian case, in general, there is no combined effect between these variables. These contrasting findings can be associated with either the different underlying characteristics of both stock markets or the reduced sample size for the emerging market analyzed.

This research contributes to the earnings management literature examining how policy uncertainty is related to accruals manipulation under different life cycle stages and institutional environments. It is also one of the first studies to explore this conditioning effect.

The objective of this paper is threefold. First, it aims to empirically study whether firm-specific/idiosyncratic uncertainty, macroeconomic/aggregate uncertainty and political uncertainty have an adverse influence on firms' investment decisions in Pakistan. After establishing this, it scrutinizes whether the uncertainty effects on investment are different for firms of different sizes. Finally, it investigates whether any heterogeneity exists in the uncertainty impacts across different industries.

The empirical analysis is based on an unbalanced panel data of 468 nonfinancial firms listed at the Pakistan Stock Exchange (PSX) during the period 2000–2018. Departing from the literature, the paper builds a time-varying composite volatility/uncertainty index based on the principal component analysis (PCA) by utilizing the constructed volatility series for sales, cash flows and return on assets to gauge firm-specific uncertainty for each firm included in the analysis. Likewise, the paper develops a PCA-based composite index for macroeconomic uncertainty by using the conditional variance series of consumer price index (CPI), industrial production index (IPI), the interest rate and the exchange rate obtained by estimating the (generalized) autoregressive conditional heteroscedastic, (G)ARCH, models. Finally, political uncertainty is measured by political risk components maintained by the Political Risk Services Group. The empirical framework of the paper augments the standard investment equation by incorporating all three types of uncertainty. Firms are grouped into small, medium and large categories based on firms' total assets and the size indicators are generated. Next, the indicators are multiplied by each uncertainty measure to quantify the differential effects of uncertainty across firm size. Firms are also differentiated by sectors to explore the sector-based asymmetries in the uncertainty effects. The “robust two-step system generalized method of moments (2SYS GMM) (dynamic panel data) estimator” is applied to estimate the empirical models.

The results provide robust and strong evidence of the detrimental influence of all three types of uncertainty on investment. Yet, it is observed that the strength of the influence considerably varies across uncertainty types. In particular, compared to firm-specific uncertainty, both macroeconomic and political uncertainties have more unfavorable effects. The analysis also reveals that the effects of all three types of uncertainty are quite different at small, medium and large firms. Specifically, it is observed that although the investment of all firms is influenced adversely by magnified uncertainty, the adverse effects of all three kinds of uncertainty are quite stronger at small firms than medium and large firms. These findings support the phenomenon of size-based asymmetries in the effects of uncertainty on investment. The results also provide evidence that either type of uncertainty quite differently affects the investment policy of firms in different sectors.

The findings help different stakeholders to know how different types of uncertainty differently affect corporate firms' investments. Further, they suggest that firm size has a vital role in ascertaining the adverse effects of uncertainty on investment. The paper identifies to which type of uncertainty investors and policymakers should care more about and to which types of firms and industries they should concern more during volatile times. Firms should have more fixed assets and expand their size to mitigate the detrimental effects on investment of internal and external uncertainties. The government should enhance the political stability to induce firms for a higher level of investment, which, in turn, will result in higher growth of the economy.

The originality of the paper is credited to four aspects. First, unlike most previous studies that have utilized a single volatility measure, this paper constructs composite uncertainty indices based on the weights determined by the PCA. Second, it examines the effect of political uncertainty over and above the effects of idiosyncratic and aggregate (macroeconomic uncertainty) for an emerging economy. Third, and most important, it provides first-hand empirical evidence on the role of firm size in establishing the asymmetric effects of uncertainty on investment. Finally, it provides evidence on the industry-based heterogeneity in the uncertainty effects.

Construction projects are well known for their complexity and ambiguity. These projects carry out higher risk than traditional ones because they entail high capital outlays and intricate site conditions. Poor financial management of these projects may lead to bankruptcy; therefore, effective cash flow management is essential. Although the peculiar characteristics of construction projects, the accuracy of cash flow forecasting has been a long lasting problem. The paper aims to discuss these issues.

Many unforeseen factors affect the cash flow forecasting of construction projects. Therefore, the objective of the presented research in this paper is to examine the impact of these factors on contractor's cash flow. A model has been established by integrating analytic hierarchy process and simulation to examine the impact of various factors on cash flow. Data on the selected factors have been collected through questionnaires from various agencies in North America and China.

Results show that the most significant factors are: change of progress payment, payment duration, financial position of the contractor, project delays, and poor planning. It also shows that the effect of cash inflow factors varied approximately from 9.7 to 16.3 percent with a mean value of 12.4 percent.

The implementation of the developed models are limited to few case study projects in testing the models. However, the developed models and framework are sound for future improvement. They are considered as a major step toward a broader cash flow planning.

The developed methodology and models play essential roles in decision-making process.

The developed model is expected to help contractors realistically forecast project cash flow under uncertainty. This may lead to more dependable and professional cash flow management, which might substantially reduce failures in construction business.

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.

The purpose of this paper is twofold. First, based on the value optimization problem of the firm, the authors proposed a theoretical model for firms’ investment decisions, which incorporates the effects of both idiosyncratic (firm specific) and macroeconomic uncertainty/risk. Second, the authors empirically estimate the proposed model for Pakistan.

The authors utilize an unbalanced firm-level panel data covering the period 1988-2013. To generate time-variant firm-specific uncertainty, the authors estimate the autoregressive model on firm sales for each firm included in the sample over the examined period. Firm-specific risk is also measured based on the square of the residuals of firms’ sales. Two measures of macroeconomic uncertainty are computed using the conditional variance obtained by estimating the ARCH model for consumer price index and industrial production index. Several alternative measures of both types of uncertainties are used to ensure the robustness of uncertainty effects. To mitigate the problem of endogeneity, the robust two-step system-generalized method of moments estimator is used to estimate the empirical model.

The results indicate that firms are likely to cut down their level of investment spending when either type of uncertainty increases. The results also reveal that the sensitivity of firms’ investment decisions to macroeconomic (aggregate) uncertainty is higher as compared to the firm-specific uncertainty. The authors show that these findings are robust to different uncertainty measures used in the analysis. The results related to firm characteristics suggest that the firm-specific variables namely the debt to assets ratio, the costs of debt to assets ratio, and the sales to assets ratio are also equally important in the determination of investment decisions of corporate manufacturing firms.

The empirical findings of the paper are useful for firm managers, investors, and government authority. Specifically, the results help firm managers and investors to understand how firm-specific and macroeconomic uncertainty affects firms’ investment decisions. The finding that firms cut their investment spending in times of macroeconomic instability implies that declines in firms’ investment spending during the periods of macroeconomic turmoil may delay the process of recovery. Therefore, the policy makers should design such policies that encourage firms to invest more in economic crisis periods, which, in turn, would enhance the growth of the economy and help to overcome the problem of downturn/recession.

The authors first propose a theoretical model for firms’ investment decisions based on the value optimization problem of the firm by incorporating the role of both firm-specific and macroeconomic uncertainty. Next, unlike most of previous studies, they estimate the proposed model for non-financial firms operating in Pakistan. The authors predict that a higher exposure to both idiosyncratic and macroeconomic uncertainties leads to lower investment in Pakistani manufacturing firms. Further, the authors hypothesize that both types of uncertainties have differential effects on firms’ investment decisions.