消费者生活方式与物质主义价值观的相关性研究

本文主要研究生活方式与物质主义价值观的相关关系。基于495位消费者的问卷调查数据,借助因子分析方法,探索出11个生活方式因子,利用这11个因子进行聚类分析,将调查样本划分为5个子市场。随后,用方差分析法分析得出结果：5个子市场在物质主义价值观上有显著性差异,并用最小显著差异法进行两两比较,确认了具有不同生活方式的消费者在物质主义价值观上的差别。     

Do stock markets discipline US Bank Holding Companies: Just monitoring,or also influencing?

This paper presents evidence that bank managers adjust key strategic variables following a risk and/or valuation signal from the stock market. Banks receive a risk signal when they exhibit substantially higher (semi-)volatility compared to the best performing bank(s) with similar characteristics, and a valuation signal when they are undervalued relative to the average bank with similar characteristics. We document, using a partial adjustment model, that bank managers adjust the long-term target value of key strategic variables and the speed of adjustment towards those targets following a risk and/or negative valuation signal. We interpret this as evidence of stock market influencing. We show that our results are unlikely to be driven by indirect influencing by regulators, subordinated debtholders, retail or wholesale depositors. Finally, we show that the likelihood that banks receive a risk and/or valuation signal increases with opaqueness, managerial discretion and specialization.     

我国机构投资者行为与证券市场稳定研究

近来，有关部门提出了超常规培育机构投资者的证券市场监管政策，认为机构投资者能稳定证券市场，提高证券市场运行效率。但是，机构投资者并不必然能稳定证券市场，市场的稳定还需要一定的制度环境。     

Event segmentation: A review and research agenda

Event academics and practitioners have long recognized the importance of segmenting event attendees. Despite a relatively long level of enquiry into event segmentation, there is little consistency in the methods, data analysis techniques and segmentation variables that are used. A review of 120 event segmentation studies incorporating an attendee-orientated approach was conducted to identify how event attendees are currently segmented. This study will serve as a reference guide to current event segmentation researchers on the segmentation approach/s and data analysis techniques utilized in previous studies. Recommendations for future research are suggested.     

Run length and the predictability of stock price reversals

Survival analysis is used to estimate time‐varying probabilities of price reversals using daily data for the Australian All Ordinaries Price Index. Lagged price changes lead to persistence (shortening) in a price run if they are of the same (opposite) sign as the run. An increase in the number of runs observed in the previous 30 days also increases the probability of price reversal. The predictive accuracy of the models is assessed using a probability scoring rule. Consistent with market efficiency, the estimated models are less accurate than the random walk model in predicting the length of individual price runs out‐of‐sample.