Niche overlap and limiting similarity: an ecological approach to the theory of the firm

This paper suggests an approach, based upon an analogy with different species competing in the environment for fixed resources, to the question of why variety is such a persistent feature of free market economies. Attention is centred upon a market characterised by a group of consumers with a distribution of incomes, which leads to a continuum of demands for different output qualities. The identification of various sufficient conditions then allows the argument to proceed through a mathematical structure first outlined in the theoretical ecology literature, resulting in a precise prediction regarding the limit to similarity between firms. This results is then applied to the U.K. Supermarket industry in 1988, and is used to provide guidance to the state of competition within the industry in that year.     

Managing Price Risk in the Pakistan Wheat Market

The government intervenes in the wheat market in Pakistan toensure food security for consumers and to provide adequate andstable incomes for producers. The cost of this interventionis high, and its impact on the performance of agriculture hasbeen significantly negative. The World Bank is urging policychanges such as removing agricultural trade restrictions, pricesupports, and subsidies. However, policymakers often resistsuch reforms, fearing that they will expose the domestic marketto fluctuating international commodity prices. This article assesses the risk management needs of the sectorand evaluates whether using financial instruments—suchas commodity hedging using futures, options, or swaps—wouldimprove risk management. Simulations based on monthly data for1994 show that market-based methods of risk management couldreduce the impact of international price volatility on the domesticmarket without incurring high government cost or distortingprice signals.     

An Exploratory Analysis of Factors Influencing Initial Market Response and Media Reports following Shock Corporate Events

This article examines market efficiency in a natural environment using minute‐by‐minute share prices following fatal industrial disasters and sudden CEO deaths, and their subsequent media reports. Prices of affected firms start to react within an hour of shock events and fall by 3%; half this fall is reversed prior to the first media reports with the balance reversed by the next trading day. Spreads behave in similar fashion. This is interpreted as market overreaction as risk‐averse investors respond to uncertainty created by the shock; prices return to pre‐shock levels once it is clear that the event is to be expected and already built into valuations.     

欧盟视阈下在线平台中个人数据的增值税处理

近年来,在线平台的迅猛发展推动了全球经济数字化加速转型,但同时也引发了包括增值税政策适用在内的诸多挑战.通过研究《欧盟增值税指令》和欧州法院的判例法,以及分析个人数据与在线平台运行之间的关系可以推断出,个人数据是在线平台提供访问服务构成的增值税应税范围内的供应,且与消费者是否向在线平台支付金钱形式的对价无关.在实践中,使用客观价值方法来确定在线服务供应的应税金额存在实际困难,而使用直接联系标准解决易货交易问题,会导致增值税税基在本质上得到扩张.因此,建议当前不要将在线平台访问服务的供应视为一项应税交易.此外,对于商家为获得消费者数据而向平台付款的情形,因其不符合直接联系标准,也不应被视为服务对价.     

Which institutional investor types are the most informed?

We examine the informativeness of quarterly disclosed portfolio holdings across four institutional investor types: hedge funds, mutual funds, pension funds and private banking firms. Overweight positions outperform underweight positions only for hedge funds. By decomposing holdings and stock returns, we find that hedge funds are superior to other institutional investors both at picking industries and stocks and that they are better at forecasting long‐term as well as short‐term returns. Furthermore, our results show that hedge funds, mutual funds and pension funds are able to successfully time the market. The outperformance of hedge funds is not explained by a liquidity premium.     

Industry concentration,excess returns and innovation in Australia

This paper examines market concentration and stock returns on the Australian Securities Exchange. We find that dominant companies operating in concentrated industries in Australia are able to generate significant risk‐adjusted excess stock returns. Our results for Australian data are opposite to that found by Hou and Robinson (2006) for United States market data. Hou and Robinson reason that United States firms which operate in concentrated industries are insulated from competitive pressures, have lower levels of innovation (Arrow, 1962) and therefore experience lower profitability and stock returns. By contrast, the Australian data show a significant and positive relationship between concentration and innovation expenditure. Therefore, the excess stock returns of dominant companies in Australia are consistent with previous research linking innovation expenditure with excess stock returns. We hypothesize that the apparent contradiction of our results compared with Hou and Robinson (2006) for the United States market is resolved by an examination of the differences in size and competition in United States and Australian industries and the consequent differential ability of dominant companies in the two countries to generate monopoly rents and invest in ‘Schumpeterian’ (Schumpeter, 1942) innovation.     

How much does tax erode fund excess returns?

We model the tax drag from active fund management based on reported monthly holdings of active equity funds. Tax drag erodes 65 percent of the 0.74 percent excess return in Broad Market funds, but only 21 percent of the 1.80 percent excess return in Small-Cap funds for Australian superannuation (pension) fund investors. Tax drag varies with investment style; market state, which is most detrimental during bull markets; and fund turnover. For high-income individual investors, tax drag is exacerbated to the extent that active management only generates meaningful after-tax excess return for Small-Cap funds of certain styles.     

Benchmarking benchmarks: measuring characteristic selectivity using portfolio holdings data

This study proposes methodological adjustments to the widely adopted performance benchmarking methodology of Daniel et al. (1997 ) as a means of improving the precision of alpha measurement for active equity fund managers. We achieve this by considering the monthly updating of characteristic benchmarks and to ensure neutrality to the Standard & Poor's/Australian Stock Exchange 300 index. Applying this benchmark to a representative sample of active Australian equity funds and simulated passive portfolios that mimic fund manager‐style characteristics, we find statistically different and lower tracking error compared with using the standard characteristic benchmark methodology. We also find evidence that the modified benchmark statistically infers an alpha closer to zero compared with the standard benchmark methodology. Our findings suggest that improved specifications of characteristic benchmarks represent better methods in quantifying fund manager skill.     

Learning minimum variance discrete hedging directly from the market

Option hedging is a critical risk management problem in finance. In the Black–Scholes model, it has been recognized that computing a hedging position from the sensitivity of the calibrated model option value function is inadequate in minimizing variance of the option hedge risk, as it fails to capture the model parameter dependence on the underlying price (see e.g. Coleman et al., J. Risk, 2001, 5(6), 63–89; Hull and White, J. Bank. Finance, 2017, 82, 180–190). In this paper, we demonstrate that this issue can exist generally when determining hedging position from the sensitivity of the option function, either calibrated from a parametric model from current option prices or estimated nonparametricaly from historical option prices. Consequently, the sensitivity of the estimated model option function typically does not minimize variance of the hedge risk, even instantaneously. We propose a data-driven approach to directly learn a hedging function from the market data by minimizing variance of the local hedge risk. Using the S&P 500 index daily option data for more than a decade ending in August 2015, we show that the proposed method outperforms the parametric minimum variance hedging method proposed in Hull and White [J. Bank. Finance, 2017, 82, 180–190], as well as minimum variance hedging corrective techniques based on stochastic volatility or local volatility models. Furthermore, we show that the proposed approach achieves significant gain over the implied BS delta hedging for weekly and monthly hedging.     

The Cost of War: A Comment and a Reply

Intereconomics - In the July/August issue of Intereconomics, Ilona Sologoub argued that increasing the cost of war would limit the ability of an authoritarian state to wage a war. Here, Charles D....