Time-varying pricing may increase total electricity consumption: Evidence from Costa Rica

We study the implementation of a time-varying pricing (TVP) program by a major electricity utility in Costa Rica. Because of particular features of the data, we use recently developed understanding of the two-way fixed effects differences-in-differences estimator along with event-study specifications to interpret our results. Similar to previous research, we find that the program reduces consumption during peak-hours. However, in contrast with previous research, we find that the program increases total consumption. With a stylized economic model, we show how these seemingly conflicted results may not be at odds. The key element of the model is that previous research used data from rich countries, in which the use of heating and cooling devices drives electricity consumption, but we use data from a tropical middle-income country, where very few households have heating or cooling devices. Since there is not much room for technological changes (which might reduce consumption at all times), behavioral changes to reduce consumption during peak hours are not enough to offset the increased consumption during off-peak hours (when electricity is cheaper). Our results serve as a cautionary piece of evidence for policy makers interested in reducing consumption during peak hours—the goal can potentially be achieved with TVP, but the cost is increased total consumption     

Market impact: a systematic study of the high frequency options market

This paper deals with a fundamental subject that has seldom been addressed in recent years, that of market impact in the options market. Our analysis is based on a proprietary database of metaorders—large orders that are split into smaller pieces before being sent to the market—on one of the main Asian markets. In line with our previous work on the equity market [Said, E., Bel Hadj Ayed, A., Husson, A. and Abergel, F., Market impact: A systematic study of limit orders. Mark. Microstruct. Liq., 2018, 3(3&4), 1850008.], we propose an algorithmic approach to identify metaorders, based on some implied volatility parameters, the at the money forward volatility and at the money forward skew. In both cases, we obtain results similar to the now well-understood equity market: Square-Root Law, Fair Pricing Condition and Market Impact Dynamics.     

领导干部自然资源资产离任审计与企业绿色并购——来自中国重污染型上市公司的经验证据

基于2011~2017年我国A股重污染型上市公司经验数据，实证检验了领导干部自然资源资产离任审计对企业绿色并购行为的影响，研究发现：领导干部自然资源资产离任审计可显著促进辖区内企业实施绿色并购；而当地区市场竞争程度越高时，越会抑制企业在领导干部自然资源资产离任审计试点实施背景下的绿色并购扩张行为；进一步地，企业绿色并购会显著提高企业价值，且这一影响对并购后当年的企业价值影响最为显著；基于异质性分析方面，领导干部自然资源资产离任审计会约束不同产权性质企业的环境治理行为，促进其采取绿色并购，实施绿色发展；同时领导干部自然资源资产离任审计会更有利于东部地区企业实施绿色并购，而对中西部地区的企业影响不明显。     

Fairness perception of ancillary fees: Industry differences and communication strategies

This study examines fairness perception of ancillary fees across different industries, and ways to communicate ancillary fees in a way that reduces customers' feeling that they are being unfairly treated. Through surveys and consumer experiments, we show that consumers’ perception of fairness decreases as the level of ancillary fees increases, with differences across industries. Also, when the customer is given a cue that the ancillary fees are necessary for low base prices, fairness perception increases, explained by the “dual entitlement” concept. Another effective communication strategy is early disclosure, as opposed to late disclosure which decreases fairness perception and willingness to recommend.     

现代资产定价理论的研究和发展——基于有效市场假说和资产定价模型的视角

围绕对有效市场假说的联合检验假设难题、资本资产定价模型的检验、“贝塔通缉令”“因子动物园”“多因素模型大战”等重点和核心话题,对现代资产定价理论文献的研究脉络进行梳理和评述,在此基础上对未来资产定价的研究重点和方向提出建议。     

INDIFFERENCE PRICES AND IMPLIED VOLATILITIES

We consider a general local‐stochastic volatility model and an investor with exponential utility. For a European‐style contingent claim, whose payoff may depend on either a traded or nontraded asset, we derive an explicit approximation for both the buyer's and seller's indifference prices. For European calls on a traded asset, we translate indifference prices into an explicit approximation of the buyer's and seller's implied volatility surfaces. For European claims on a nontraded asset, we establish rigorous error bounds for the indifference price approximation. Finally, we implement our indifference price and implied volatility approximations in two examples.     

自然资源资产管理：理论逻辑与改革导向

研究目的:针对自然资源资产管理的理论诠释不清、改革导向不明、自然资源的资产属性尚未充分体现等问题,本文立足新时代党和国家机构改革背景,分析自然资源资产管理的理论逻辑,明确未来自然资源资产管理的改革方向。研究方法:文献研究法,综合分析法。研究结果:新时代自然资源资产管理应当基于"权利—价值—经营—管理"的理论逻辑体系框架,其中自然资源资产权利应当包含自然资源资产所有权、资格权、使用权和管理权等对象内涵,以完整、明晰和稳定作为权利实现要求;自然资源资产价值显化应当基于生态、经济等价值的全面认知,针对不同资产类型分类采用不同价值评估方法,完善市场培育、价值调节和公平分配机制;自然资源资产经营既要保障粮食安全、生态安全和规避可能风险,又要实现高品质利用,因而应当以底量保安全,以存量、数量、质量、差量和流量保协同,优化完善编制资产负债表;自然资源资产管理则应当打破自然资源资产管理割裂的现状,实现系统统一管理并建立全平台、全过程、全资源和全空间的综合监督机制。研究结论:自然资源资产管理应以"三维立体多权化"、"生态价值具象化"、"安全品质六量化"和"系统监管综合化"为改革导向,以期全面推进未来多维、绿色、高效、安全、品质、有序的自然资源资产管理方式的切实实现。     

European quanto option pricing in presence of liquidity risk

In this paper, we study the pricing problems of the European quanto options in which the underlying foreign asset is in imperfectly liquid markets. First, we assume that the dynamics of the underlying foreign asset price are affected by market liquidity and propose a liquidity-adjusted quanto model. This allows for the effects of market liquidity on European quanto option pricing. And then we derive the analytical pricing formulas for four different types of European quanto options. Finally, we empirically investigate the pricing performance of our proposed model with a European quanto construction involving the SSE 50 ETF, as the underlying asset, and the CNY/HKD exchange rate. Empirical results demonstrate that the pricing accuracy of the proposed model is markedly superior to that of the Black-Scholes quanto model. In other words, allowing for liquidity risk in the framework of European quanto option pricing can make markedly improvements in fitting the real market data. Particularly, the improvement rate is high for medium-term and out-of-the-money options. Moreover, these results are robust for different liquidity measures.     

The airfare pricing and seat allocation problem in full-service carriers and subsidiary low-cost carriers

This study investigates the competitive market situation in the air transport industry considering full-service carriers (FSC), subsidiary low-cost carriers (LCC) and rival LCCs on the flight-leg level while subsidiary LCCs are established by FSCs against rival LCCs to keep the market share and to make more profit. It is assumed that the demand of economy class for each airline follows a known distribution, and the mean value of that distribution is a function of its airfare and the airfare differences with other airlines. In addition, no-shows and cancellations are introduced to reflect a real situation. Based on this situation, a mathematical model is developed to derive efficient airfare pricing and seat allocation for each airline for maximizing the profit sum of both FSCs and subsidiary LCCs using a repeated game. A repeated game model integrated with a Tabu search algorithm and an EMSR based heuristic is suggested to deal with the proposed repeated game. A numerical example is provided to validate the model and solution procedure with hypothetical system parameter values under two kinds of market situations that show before and after the emergence of subsidiary LCCs.     

Non-linear Gaussian sovereign CDS pricing models

Prior literature indicates that quadratic models and the Black–Karasinski model are very promising for CDS pricing. This paper extends these models and the Black [J. Finance 1995, 50, 1371–1376] model for pricing sovereign CDS’s. For all 10 sovereigns in the sample quadratic models best fit CDS spreads in-sample, and a four factor quadratic model can account for the joint effects on CDS spreads of default risk, default loss risk and liquidity risk with no restriction to factors correlation. Liquidity risk appears to affect sovereign CDS spreads. However, quadratic models tend to over-fit some CDS maturities at the expense of other maturities, while the BK model is particularly immune from this tendency. The Black model seems preferable because its out-of-sample performance in the time series dimension is the best.