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The authors develop a novel forecast combination approach based on the order statistics of individual predictability from panel data forecasts. To this end, the authors define the notion of forecast depth, which provides a ranking among different forecasts based on their normalized forecast errors during the training period. The forecast combination is in the form of a depth-weighted trimmed mean. The authors derive the limiting distribution of the depth-weighted forecast combination, based on which the authors can readily construct prediction intervals. Using this novel forecast combination, the authors predict the national level of new COVID-19 cases in the United States and compare it with other approaches including the ensemble forecast from the Centers for Disease Control and Prevention (CDC). The authors find that the depth-weighted forecast combination yields more accurate and robust predictions compared with other popular forecast combinations and reports much narrower prediction intervals.

This chapter develops robust panel estimation in the form of trimmed mean group estimation for potentially heterogenous panel regression models. It trims outlying individuals of which the sample variances of regressors are either extremely small or large. The limiting distribution of the trimmed estimator can be obtained in a similar way to the standard mean group (MG) estimator, provided the random coefficients are conditionally homoskedastic. The authors consider two trimming methods. The first one is based on the order statistic of the sample variance of each regressor. The second one is based on the Mahalanobis depth of the sample variances of regressors. The authors apply them to the MG estimation of the two-way fixed effects model with potentially heterogeneous slope parameters and to the common correlated effects regression, and the authors derive limiting distribution of each estimator. As an empirical illustration, the authors consider the effect of police on property crime rates using the US state-level panel data.

As an exploratory study, our research aims to investigate what factors would influence choices of foreign market entry mode by system integration (SI) companies. There are two distinct points. First, we specifically focus on a service industry, i.e., SI (System Integration) industry, which has unique features compared with other industries, yet not been studied extensively. Second, we indirectly examine whether forces influencing firms in an advancing country like Korea are different from those in more advanced countries: in this paper we investigate the Korean cases only, since most of the previous studies viewed this issue from the perspective of advanced countries.

The purpose of this paper is to identify the application of the fundamental principle of accounting conservatism within the EU food and drink industry. Furthermore, the authors would also investigate in-depth the above relationship in two different subsamples (income smoothers and non-income smoothers).

All EU-listed companies of the food and drink industry were identified covering the year 2019. Eckel's model was used to classify listed companies as smoothing or non-smoothing, and Basu's model was adopted to test the degree of conditional conservatism.

The results indicate that conservatism is strongly present in food and drink industry and also in its subindustries. We also showed that non-smoothing firms had higher levels of conditional conservatism in terms of more opportunity to recognize future economic losses because the market could use the stock return data to anticipate future losses contained in the information regarding profits.

One limitation of this work is the small size of the investigated companies. The authors demonstrate that the likely increased use of conservatism produces better credibility in the EU markets. Practical implications indicate a higher degree of monitoring of the accounting practices adopted by firms. Regulators have to set accounting policies to enhance the quality of the informational environment, investors and shareholders might exercise control over executives' decisions, and lenders might impose contractual clauses requiring the timely disclosure of “bad news.”

This industry is “belted” from any external speculations. This research made it possible also to observe theoretical relationships between the financial information provided by the EU food and drink industry that contributes to the market distinction between smoothers and non-smoothers.

The purpose of this paper is to investigate the direct and indirect effect of the existence of risk management on the relationship between audit committee and corporate social responsibility (CSR) disclosure in Palestine.

The study utilizes a panel data of 31 Palestinian listed companies from 2010 to 2016. It also utilizes structural equation modeling (SEM) model.

The results of SEM model find a significant positive relationship of the existence of risk management, audit committee meeting and audit committee size with CSR disclosure. However, audit committee financial expertise has a significant negative relationship with CSR disclosure. The results also find a significant relationship of audit committee meeting and audit committee financial expertise with CSR disclosure through the existence of risk management.

This study is important to policymakers, accounting professionals and shareholders on the extent to which audit committee related to such committee efficiency in monitoring CSR disclosure.

This study adds to the existing literature by investigating the direct and indirect effect of the existence of risk management on the relationship between audit committee and CSR disclosure in Palestine as one of the youngest market in region that assists to test the validity of agency theory in a young and small emerging market context.

It is the first study to investigate the direct and indirect effect of the existence of risk management on the relationship between audit committee and CSR disclosure in Palestine.

The purpose of this study is to examine the impact of service-related independence impairments on perceptions of local and regional non-Big 4 Firms’ financial reporting reliability. This study is motivated by recent public policy, which proposes that service-related independence impairments may improve financial reporting reliability.

Commercial lending officers respond to a within-subjects experiment. The variables of interest are client importance, expertise and their related interaction. These variables are regressed on the perceived reporting reliability of local and regional firms.

Client importance is positively and significantly associated with the lenders’ selection of non-Big 4 firms, which supports Taylor et al.’s (2003) assertions that service-related independence violations improve financial reporting reliability. However, client importance is negatively associated with regional firms.

Client importance is significantly associated with regional firms only, which suggests that cross-sectional differences exist among non-Big 4 firms. The negative association between regional firms and client importance confirms Goldman and Barlev’s (1974) concerns that large firms are not exempt from client pressure. Client importance is also significantly (and positively) associated with lenders’ selection of the type of non-Big 4 firm to perform the engagement, which supports recent public policy’s proposal for joint attest and non-attest services (Exposure Draft for Statement for Accounting and Review Services No. 18).

The study overcomes within-subjects design limitations to provide a natural environment to understand lending officers’ perceptions of non-Big 4 firms. The results continue to fill the void in the literature which examines cross-sectional differences in non-Big 4 firm quality.