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81.
Prior research suggests that the quality of accruals may be compromised where the magnitude of accruals is abnormally high, due to the presence of errors in the accruals‐estimation process (Dechow and Dichev, 2002; Richardson, 2003). A consequence of this is that abnormal accruals may not map into realised future cash flows to the extent that would normally be expected of accruals data. Indeed, the association may be insignificant if abnormal accruals consist primarily of estimation noise. Our study investigates whether abnormal accruals for UK firms provide incremental insight into future cash flows. In particular, our paper may be viewed as a development of Subramanyam (1996). We find a significant positive association between abnormal accruals and one‐year‐ahead operating cash flows. This provides a rationale for the pricing of abnormal accruals by the market (Subramanyam, 1996; Xie, 2001) and suggests that abnormal accruals are not merely the products of noise in the accruals‐estimation process. However, our results are conditional upon the probability of one‐year‐ahead bankruptcy risk (Charitou et al., 2004). We also find that abnormal accruals possess small but significant explanatory power for future cash flows even when controlling for the disaggregation of accruals into individual items (Barth et al., 2001). 相似文献
82.
The current study documents an interesting phenomenon that retail investors prefer to invest in stocks listed at the stock exchange that is geographically close to them in China. This pattern is robust when we control for the well-documented local bias within a country. Among companies with similar distances to both stock exchanges and companies headquartered locally, investors still display a strong tendency to invest in locally-listed stocks. Among stocks with similar distances to both stock exchanges, those listed in Shanghai (Shenzhen) co-move more in returns and trading volumes, with the benchmark at the Shanghai (Shenzhen) stock exchange. Such a preference for local exchange seems not to be motivated by information advantage, because investors do not obtain abnormal returns from their trades on stocks listed nearby. Our findings provide additional evidence that non-information-based familiarity bias induces investment and that such investor bias and exchange-level sentiment influence asset price formation. 相似文献
83.
Our main objective is to study the effect of institutional directors on firm performance, distinguishing directors according to whether they maintain business relationships (pressure‐sensitive) or not (pressure‐resistant). Our results show that in weak regulatory and low investor protection environments, institutional directors have a negative impact on corporate performance. Our evidence shows that this negative effect is mainly driven by the role of pressure‐resistant directors and not for those directors representing mainly banks and other financial institutions with a long‐term investment horizon. These findings have implications for numerous parties, such as institutional investors, regulators, potential new board members and other corporate governance reform proponents, who frequently examine board characteristics to assess the effectiveness of boards in value‐creation policies. 相似文献
84.
85.
Finance and Stochastics - In this paper, we consider an optimal insurance problem from the perspective of a risk-averse individual who faces an insurable risk as well as some background risk and... 相似文献
86.
This case illustrates the effects of the proposed new lease standard by the Financial Accounting Standards Board and the International Accounting Standards Board on existing outstanding operating leases. Specifically, the case examines the effects of the proposal that all firms report existing operating leases as capital leases upon the initial adoption of the proposed standard. By applying a constructive capitalization model to two firms who rely on operating leases for financing, FedEx and UPS, we found that both companies would have to record billions of dollars of liabilities that had only appeared in the footnotes of their financial statements under the current lease standards. In addition, the firms would experience a decline in retained earnings and key financial ratios, such as the debt‐to‐equity, return‐on‐assets, and interest coverage ratios, by reporting operating leases as capital leases under the new proposed standard. Furthermore, the magnitude of the lease capitalization impact is much smaller for UPS than for FedEx. 相似文献
87.
Kyoung‐Jae Kim 《International Journal of Intelligent Systems in Accounting, Finance & Management》2004,12(3):167-176
A feature transformation method based on domain knowledge for arti?cial neural networks (ANNs) is proposed. The method of feature transformation based on domain knowledge converts continuous values into discrete values in accordance with the knowledge of experts in speci?c application domains. This approach effectively ?lters data, trains the classi?er, and extracts the rules from the classi?er. In addition, it reduces the dimensionality of the feature space, which not only decreases the cost and time in the operation but also enhances the generalizability of the classi?er. The experimental results of the proposed approach will be compared and tested statistically with the results of the linear transformation method. The results show that the method of feature transformation based on domain knowledge outperforms the linear transformation in modelling of ANNs. Copyright © 2004 John Wiley & Sons, Ltd. 相似文献
88.
Given the growing importance of the Taiwan stock market, the present study sets out to provide a comprehensive investigation of the intraday time series of the Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX). We begin by exploring the intraday volatility patterns and then go on to examine their impact on intraday volatility forecasting. We find that the volatility of the TAIEX returns exhibits an L‐shaped intraday periodic pattern, which is distinct across each day of the week. Our empirical results indicate that taking the intraday periodic pattern into account in a generalized autoregressive conditional heteroskedasticity model can substantially improve the precision of intraday volatility forecasting. 相似文献
89.
对统计学课程传统的教学模式进行改革是适应高职高专面向社会、服务大众,以能力为本办学特点的迫切需要。本对在统计学教学中实行“参与型”教学新模式的起因、具体实施过程和方法进行了研究和探讨,并对“参与型”教学新模式的教学效果进行了分析和评价。 相似文献
90.
Kareem Mohamed Amr Aziz Belal Mohamed Khaled Abdel‐Hakeem Mostafa Mostafa Ayman Atia 《International Journal of Intelligent Systems in Accounting, Finance & Management》2019,26(4):193-201
Money exchange is one of the most common day‐to‐day activities performed by humans in the daily market. This paper presents an approach to money tracking through a blockchain. The proposed approach consists of three main components: serial number localization, serial number recognition, and a blockchain to store all transactions and ownership transfers. The approach was tested with a total of 110 banknotes of different currency types and achieved an average accuracy of 91.17%. We conducted a user study in real‐time with 21 users, and the mean accuracy across all users was 86.42%. Each user gave us feedback on the proposed approach, and most of them welcomed the idea. 相似文献