Japanese Banks’ monitoring activities and the performance of borrower firms: 1981–1996

We construct an index measure that quantitatively describes the monitoring activities of Japanese banks. Using micro data on Japanese banks and borrower firms, we examine the effects of bank monitoring on the profitability of borrower firms. We find significant positive effects in the periods 1986–1991 and 1992–1996, although there is no significant effect in the period 1981–1985. We also examine how banks’ monitoring affects borrowers. The results show that the positive effects of banks’ monitoring on borrowers’ profitability are mostly caused by screening effects, not performance-improving effects.

加强经济学的数量分析

论文从我国忽视经济学数量分析发展的原因入手．认真分析了社会主义市场经济条件下加强经济学的数量分析的必要性，并提出了经济学数量分析加强的主要内容．     

我国商业银行操作风险的量化分析

操作风险是金融机构需要面对的主要风险之一,操作风险的量化是对操作风险进行有效管理的前提之一,由于对它的认识尚处于初步阶段,商业银行对操作风险的度量和管理仍处于探索之中.本文对操作风险主要量化方法进行了分析,并对国内两家股份制商业银行的操作风险状况进行了实证研究.     

Transaction costs and crowding

We use industry data to determine whether crowding of the investment space is caused by portfolio construction processes typical to the investment community. In particular, this paper examines the extent that transaction cost models cause crowding of the investment space, even when the investment models are completely unrelated to one another. We find that as transaction costs become more significant in the portfolio creation process as portfolios increase in size from $500 million to $5 billion, crowding actually declines for long-only portfolios and mainly declines, but sometimes increases for market neutral portfolios. This research sheds more light on how crowding develops through actions by players within the financial system.     

Enhanced Debt Management: Solving the eurozone crisis by linking debt management with fiscal and monetary policy

Unconventional approaches to suit unusual circumstances have become acceptable in monetary policy, a formerly highly conservative discipline. In this paper it is argued that unconventional approaches should also be considered in sovereign debt management, in order to contribute to resolving the eurozone sovereign debt crisis. First, the Troika crisis lending to indebted sovereign borrowers in the eurozone is reviewed and compared with standard IMF post-crisis lending. The main difference and shortcoming is the unsustainable character of the eurozone approach, due to the omission of demand stimulation components. To address this and other shortcomings, the features of an ideal alternative funding tool are identified. It would solve the funding problems of affected sovereigns, help stabilise the banking system, but most of all stimulate domestic demand and hence end the vicious downward spiral. It is found that this funding method can be implemented as part of enhanced public debt management by each nation's debt management office.     

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].     

An event study of price movements following realized jumps

Price jumps are mostly related to investor reactions to unexpected extreme news. We perform an event study of price movements after jumps to analyse if investors’ reactions are affected by psychological biases. We employ recent non-parametric methods based on intraday returns to separate large price movements that are related to unexpected news from those merely caused by periods of high volatility. In general, we find evidence for irrational pricing, which can be associated with investors’ optimistic behavior in a bull market and the pessimism prevailing in a bear market. Furthermore, our analysis confirms the conjecture that small firms are more subject to speculative trading than large firms.     

Coupling index and stocks

In this paper, we are interested in continuous-time models in which the index level induces feedback on the dynamics of its composing stocks. More precisely, we propose a model in which the log-returns of each stock may be decomposed into a systemic part proportional to the log-returns of the index plus an idiosyncratic part. We show that, when the number of stocks in the index is large, this model may be approximated by a local volatility model for the index and a stochastic volatility model for each stock with volatility driven by the index. This result is useful from a calibration perspective: it suggests that one should first calibrate the local volatility of the index and then calibrate the dynamics of each stock. We explain how to do so in the limiting simplified model and in the original model.     

Nonlinear interdependence of the Chinese stock markets

The methodologies and assumptions in financial integration studies are problematic and may lead to spurious empirical results. Using surrogate data analysis and the mutual prediction method of testing for nonlinear interdependence, it is feasible for an analyst, with a scant knowledge of the underlying dynamics of two dynamical systems, to show whether or not the systems are interdependent. This study applies these techniques in testing for nonlinear interdependence of three Chinese stock markets: Shanghai, Shenzhen, and Hong Kong. The empirical results of the present study indicate that the stock market series are nonlinear and that the Chinese stock exchanges are nonlinearly interdependent. Specifically, the evidence indicates that Shanghai and Shenzhen markets are bi-directionally interdependent, while Shanghai and Hong Kong as well as Shenzhen and Hong Kong markets are unidirectionally interdependent, with the direction of interdependence going from the mainland's markets to the Hong Kong market.     

《经济学家》载文和引文定量分析

运用文献计量学的方法,依据、<中文社会科学引文索引CSSCI>、<中国学术期刊综合引证报告>的数据,对全国中文核心期刊--<经济学家>创刊以来,特别是2000年以后所发论文的载文(包括载文量、作者地区、作者行业、栏目载文量)和引文(包括被引频次、影响因子、被引作者、被它刊引用)的定量分析,客观揭示该刊在我国学术界的整体水平和重要影响,以及社会科学研究者对该刊物的借鉴、汲取情况.