Investor behaviour and reaching for yield: Evidence from the sterling corporate bond market

We provide evidence on how corporate bond investors react to a change in yields, and how this behaviour differs in times of market‐wide stress. We also investigate ‘reaching for yield’ across investor types, as well as providing insights into the structure of the corporate bond market. Using proprietary sterling corporate bond transaction data, we show that insurance companies, hedge funds and asset managers are typically net buyers when corporate bond yields rise. Dealer banks clear the market by being net sellers. However, we find evidence for this behaviour reversing in times of stress for some investors. During the 2013 ‘taper tantrum’, asset managers were net sellers of corporate bonds in response to a sharp rise in yields, potentially amplifying price changes. At the same time, dealer banks were net buyers. Finally, we provide evidence that insurers, hedge funds and asset managers tilt their portfolios towards higher risk bonds, consistent with ‘reaching for yield’ behaviour.     

Effects of export product diversification on quality upgrading: an empirical study

This paper empirically examines the effects of export product diversification on overall export quality in a panel data set of 115 countries from 1970 to 2010. It uses the data sets of the overall export quality and three export diversification measures of the International Monetary Fund: the extensive margin (variation in the number of new products exported), the intensive margin (variation in export values among existing exports), and the overall (Theil) index. It finds that export quality has only been increasing with a higher variation in export values among existing exports in low- and lower-middle-income countries. It also observes that export quality has been increasing with both a higher variation in export values among existing exports and new products exported in upper-middle- and high-income countries. The results are robust to the changing measures of controls in the benchmark model, the inclusion of many other controls; i.e. various measures of globalization, country size, factor endowments, macroeconomic stance, etc., and the exclusion of outliers.     

Stock Price and Volume Effects Associated with Compositional Changes in European Stock Indices

This paper provides further evidence of price and volume effects associated with index compositional changes by analysing the inclusions (exclusions) from the French CAC40 and SBF120 indices, as well as the FTSE100. I find evidence supporting the price pressure hypothesis associated with index fund rebalancing, but weak or no evidence for the imperfect substitution, liquidity and information hypotheses. The results improve on recent evidence from the S&P500 index. The evidence for the FTSE100 additions shows, in particular, that markets learn about an imminent inclusion and incorporate this information into prices, even before the announcement date.     

Capital market trading volume: an overview and some preliminary conclusions

This paper suggests an explanation for the heavy trading volumeobserved on the US capital markets, the world's largest. Heterodoxeconomic theory puts much of this volume down to speculation.Mainstream theory tends to support this thesis, either directlyor indirectly, by giving space to the idea that trading activityis for the most part exogenous to the functioning of the capitalmarkets. The central hypothesis of this paper is that the tradingvolumes observed are an endogenous feature of the capital markets,because they are to a great extent determined by the needs ofthe institutional investors who predominate on these markets.This endogeneity of trading is posited in connection with theemergence of a new ‘core–satellite’ paradigmin institutional investment, a development that essentiallymanifests the asset-management industry's transformation froma small industry serving a few wealthy clients to a mass industryserving large sections of the population.     

分形理论在货运量预测中的应用探讨

在已有研究的基础上，提出了一种新的分形预测模型——等长度递补变维分形模型。首先阐述了等长度递补变维分形模型的基本原理；然后利用该模型对1990年～2004年我国货运量进行了预测，并利用后验差方法分析了模型的精度；最后利用模型预测了2005年～2010年我国货运量及其构成（铁路、公路和水运各自所占比重）.     

Abnormal trading volume,news and market efficiency: Evidence from the Jamaica Stock Exchange

This paper investigates market efficiency of the Jamaica Stock Exchange (JSE). Together, weak and semi-strong form efficiency claim that historical and newly released public information do not predict future stock price movement. We test both forms of market efficiency by analyzing stock price behavior during times of abnormal trading volume and around the release dates of earnings information. Abnormal trading volume may be driven by liquidity demand or reflect new or private information flow to the market. Using JSE data over the period 2000 to 2021, we find price dynamics consistent with price pressure as firms experience negative abnormal returns on the day of abnormal trading activity but offsetting positive abnormal stock returns on the following day. Further findings show post earnings announcement drift on the JSE. Taken as a whole, the evidence suggests violations of market efficiency and has implications for capital allocation in this emerging market.     

信息冲击对收益波动的影响--基于交易量的实证研究

文章首先将交易量分解为信息交易量和非信息交易量，然后将信息交易量加入广义自回归条件异方差模型（GARCH模型），来分析信息对收益波动的影响。结果发现，信息冲击对收益波动的影响十分显著，投资者对信息到达的反应存在过度反应、过度矫正、适度反应的过程。     

市场不完备与股票交易量

交易量与收益率都具有信息含量，它们之间既有联系又有区别。我国的证券市场是一个新兴的市场。与国际证券市场的联系不太紧密，投资者也不够成熟，市场不完备对交易量有较大的影响。文章从交易量与收益率的交互表现入手，分析了交易量的流动性假说、交易量与信息扩散速度的关系、信息不对称对交易量的影响。以度投资者的异质性、过度自信和投机行为等对交易量的影响；并着重讨论了中国证券市场实际存在的阶段性闭市、交易成本和卖空限制三种市场不完备对交易量的影响。     

历史成本法下存货计价的比较研究

存货在大多数企业的流动资产中乃至总资产中所占的比重很大 ,因此存货价值的确定直接影响到企业经营成果的确定。不同的计价方法对企业财务状况、盈亏情况都会产生不同的影响。本文通过实例来研究在通货膨胀期间 ,采用历史成本法对存货进行核算 ,无论在永续盘存制下 ,还是在定期盘存制下都会得出 ,先进先出法算出的期末存货额最高 ,销货成本额最低 ,毛利和税后净利最高。后进先出法算出的期末存货额最低 ,销货成本额最高 ,毛利和税后净利最低。加权平均法和移动平均法介于两者之间。     

探究“新零销售”模式下影响销售量的相关因素

在新零销售模式的推动下,客户越来越倾向于消费个性化的商品。为了精准预测客户的消费需求,论文以单款单色产品为研究对象,通过建立多元回归分析的数学模型,来探究影响商品销售量的相关因素。经过分析发现,除了一些定性因素外,定量因素对销售量也产生了一定的影响,其中实际花费总金额、实际销售单价、库存数等定量因素对销售量的影响较大,且各个变量之间具有相关性,所以电商平台应特别关注这三个变量的影响。