保罗·艾尔伯特·莱特纳:拥有“超现实”之眼的记录者

杰拉德·马特:你总说,"对于摄影师来说,最合适的速度是步行的速度。"缓慢是不是你艺术策略的核心内容?保罗·艾尔伯特·莱特纳:没错,是的!我的态度就是这样。这是我之为我的方式。有一天,年龄的智慧告诉我,速度是一种错觉,所谓的"加速资本主义"荒谬之极。也许体育无法吸引我的原因就在于它的价值只是对抗机械性计算的时间。在德国作家霍夫曼·斯塔尔的作品《玫瑰骑士》中,女主人公玛夏琳哲学化地说出了量子物理学家安东·赛林格的观点;或者爱     

CAPITAL MOBILITY IN SUB-SAHARAN AFRICA: A PANEL DATA APPROACH

In this paper we are primarily concerned with assessing the degree of capital mobility in sub‐Saharan Africa. Using the methodology as proposed by Feldstein and Horioka (1980)—later termed the “Feldstein‐Horioka puzzle”—we test the hypothesis of perfect capital mobility against the alternative of imperfect capital mobility. Following Vamvakidis and Wacziarg (1998) and Isaksson (2000), provision is made in our model to show the dependency of the lesserdeveloped countries on international finance and aid and how a more open economy contributes towards improving the level of capital movement in these countries. We also assess the change in the degree of capital mobility over the time period in an effort to see whether institutional and political changes have been successful. We show that, compared to the region, South Africa is, to a large extent, more developed and should therefore play a leading role in the “African Renaissance”. Stationary panel data estimation techniques are applied to a sample of 36 sub‐Saharan African countries over the time period 1980–2000. The benefits of using one‐way error component models are derived from simultaneously employing time and cross‐section dimensions of the data, resulting in a substantial increase in the degrees of freedom. The fixed and random effects models enable us to acknowledge country heterogeneity within the panel, making provision for differences across countries like capital control policies, financial and capital market structures and exchange rate regimes.     

INCOME AND CONSUMPTION DISTRIBUTION TRENDS IN THE PHILIPPINES, 1950–70*

Unlike most developing countries, the Philippines has had several (four) reasonably comparable family income and expenditure surveys, covering a reasonable period of time (15 years). This study draws on those surveys and on wage data in an attempt to judge how, if at all, the distribution of income has been changing. The household survey data shows a declining share of both income and consumption for the top income groups; for the bottom quintile the share of recorded income fell while that of recorded consumption rose. When possible biases of the data are allowed for, it is hard to argue that either a narrowing or widening of income differentials occurred over these years. Real wages of a number of important occupations appear to have fallen, however. Only a partial reconciliation of the trends indicated by these wage series and the income trends for various occupational groups implicit in the household survey data was possible, indicating either data problems or the need for more subtle interpretations of the data. Since structural change in the labour force has been rapid (an increasing share being found in the high income occupations as time passed), declining wage rates for certain lower income groups cannot be taken to imply a general worsening of distribution. Our final conclusion is that distribution has probably changed little, and is about as likely to have changed one way as the other.     

The Flash Crash: High‐Frequency Trading in an Electronic Market

We study intraday market intermediation in an electronic market before and during a period of large and temporary selling pressure. On May 6, 2010, U.S. financial markets experienced a systemic intraday event—the Flash Crash—where a large automated selling program was rapidly executed in the E‐mini S&P 500 stock index futures market. Using audit trail transaction‐level data for the E‐mini on May 6 and the previous three days, we find that the trading pattern of the most active nondesignated intraday intermediaries (classified as High‐Frequency Traders) did not change when prices fell during the Flash Crash.     

Does Algorithmic Trading Improve Liquidity?

Algorithmic trading (AT) has increased sharply over the past decade. Does it improve market quality, and should it be encouraged? We provide the first analysis of this question. The New York Stock Exchange automated quote dissemination in 2003, and we use this change in market structure that increases AT as an exogenous instrument to measure the causal effect of AT on liquidity. For large stocks in particular, AT narrows spreads, reduces adverse selection, and reduces trade‐related price discovery. The findings indicate that AT improves liquidity and enhances the informativeness of quotes.     

The Real Product Market Impact of Mergers

I document sources of value creation in mergers by analyzing novel data on the quality and price of goods sold by merging firms. When two competitors in a product market merge, their products converge in quality, and prices fall relative to the competition. These effects take two to three years to be fully realized and are stronger in mature industries. Prices do not fall, however, when the acquirer is diversifying into a new product market. This direct evidence of real changes induced by merger activity is consistent with consolidation by related merging firms to achieve operational efficiencies and lower costs.     

Real Interest Rates and Home Goods: A Two-Period Model*

Using a simple model of a small open economy which includes traded and non-traded goods and output in two periods, we demonstrate that changes in real interest rates will be associated with changes in real exchange rates. A high real interest rate will encourage consumers to substitute away from present and toward future consumption. To transfer consumption of non-traded goods intertemporally, intersectoral resource flows are required In the simplest model, this in turn requires opposite movements in the real exchange rate over two periods.