浅析表外融资的成因及方式

表外融资作为一种新的融资方式，以融资成本低，融资迅速见长，但同时也包含了巨大的财务风险。     

SEARCH AND STOCHASTIC DYNAMICS IN THE OLD KEYNESIAN ECONOMICS: A RATIONALE FOR THE SHIMER PUZZLE

Following Farmer's micro‐foundation of the General Theory, I build a competitive search model in which agents are divided in two categories, i.e. wage and profit earners. Within this framework, I show that the model economy has a continuum of equilibria that might be consistent with a certain degree of endogenous real stickiness. Moreover, calibrating and simulating the model in order to fit US first‐moment data, I show that this setting can provide a rationale for the Shimer puzzle, i.e. the relative stability of labor productivity in spite of the large volatility of labor market tightness.     

Information Uncertainty,Earnings Management,and Long‐run Stock Performance Following Initial Public Offerings

We examine how information uncertainty surrounding IPO (initial public offering) firms influences earnings management and long‐run stock performance. For low‐information‐uncertainty issuers, at‐issue earnings’ management is positively related to subsequent unmanaged earnings and has no relationship to market reaction to earnings announcement and long‐run stock performance following the offering. For high‐information‐uncertainty issuers, however, at‐issue earnings’ management is unrelated to subsequent unmanaged earnings and negatively related to market reaction to earnings announcement and long‐run stock performance following the offer. The evidence suggests that, on average, managers in low‐information‐uncertainty firms tend to engage in earnings’ management for informative purposes, while managers in high‐information‐uncertainty firms engage in earnings’ management for opportunistic purposes.     

Fair value accounting under financial crisis

The recent financial crisis has led to a vigorous debate about the pros and cons of fair-value accounting （FVA）. This debate presents a major challenge for FVA going forward and standard setters＇ push to extend FVA into other areas. In this article, we highlight three important issues as an attempt to make sense of the debate. First, much of the controversy results from confusion about what is new and different about FVA. Second, while there are legitimate concerns about marking to market （or pure FVA） in times of financial crisis, it is less clear that these problems apply to FVA as stipulated by the accounting standards, be it IFRS or U.S. GAAP. Third, historical cost accounting （HCA） is unlikely to be the remedy. There are a number of concerns about HCA as well and these problems could be larger than those with FVA.     

碎石化技术在老路面改造中的应用

水泥混凝土路面的碎石化是一种原位利用原水泥混凝土路面的手段,在原水泥混凝土路面用末期,其他方法不能起到好的效果时可以采用。     

浅析装饰材料在设计中的应用——材料与设计心理

通过分析装饰材料在设计中的应用,并适当的结合施工工艺来研讨其在施工中的作用,启发设计者在设计工作中合理的运用各种材料,来完善出较为完美的设计作品.     

Evaluating mutual fund performance in an emerging Asian economy: The Malaysian experience

This paper examines the performance of 311 mutual funds from January 1990 to December 2005 in Malaysia by using composite portfolio performance measures, the single market model, the Fama and French three-factor model, and the Carhart four-factor model across investment horizons. Overall, we have found evidence that mutual fund performances yield superior returns with relatively lower systematic risks. A 3-year investment appears to be the preferred investment horizon with the highest annualized returns of 9.23%. The results of the single market model, the Fama–French three-factor model, and the Carhart four-factor model have all indicated that beta, size, book-to-market value, and momentum factors are significant factors in explaining equity fund returns with the Carhart four-factor model being the relatively better model among the three. The beta factor has demonstrated the highest coefficient and significance. The results further indicate that the average equity funds in Malaysia hold smaller market capitalization stocks and value oriented stocks, as well as buying past-winning and selling past-losing stocks.     

The Evolution of Client‐Consultant Relationships: A Situational Analysis of IT Consultancy in the Public Sector

This research proposes a situational understanding of the role of con‐sultants. The analysis is grounded on a case from Italian local government over a ten year period. The case is one of the earliest adopters of an ERP system in the public sector. The paper extends current understanding of client‐consultant relationships by developing a specific picture of changes in the role of consultants over time. In the case analysed, multiple changes in client‐consultant relationships occurred. They were due to particular historical contingencies in the evolution of the structure of expertise in the field. The case contributes to knowledge on consultants by contrasting bilateral and instantaneous accounts of client‐consultant relationship with a perspective that overcomes the distinction between context and individual action.     

Statistical arbitrage in the US equities market

We study model-driven statistical arbitrage in US equities. Trading signals are generated in two ways: using Principal Component Analysis (PCA) or regressing stock returns on sector Exchange Traded Funds (ETFs). In both cases, the idiosyncratic returns are modelled as mean-reverting processes, which leads naturally to ‘contrarian’ strategies. We construct, back-test and compare market-neutral PCA- and ETF-based strategies applied to the broad universe of US equities. After accounting for transaction costs, PCA-based strategies have an average annual Sharpe ratio of 1.44 over the period 1997 to 2007, with stronger performances prior to 2003. During 2003–2007, the average Sharpe ratio of PCA-based strategies was only 0.9. ETF-based strategies had a Sharpe ratio of 1.1 from 1997 to 2007, experiencing a similar degradation since 2002. We also propose signals that account for trading volume, observing significant improvement in performance in the case of ETF-based signals. ETF-strategies with volume information achieved a Sharpe ratio of 1.51 from 2003 to 2007. The paper also relates the performance of mean-reversion statistical arbitrage strategies with the stock market cycle. In particular, we study in detail the performance of the strategies during the liquidity crisis of the summer of 2007, following Khandani and Lo [Social Science Research Network (SSRN) working paper, 2007].