Impact of Carbon Dioxide Emissions Reduction on the Austrian Economy

A linked econometric input–output (IO) model of the Austrian economy with an energy block is used in this study to assess the sectoral effects of carbon dioxide emissions reduction. The energy block and the other commodities are linked by a partitioned IO model. Energy demand is described using aggregate energy demand equations, by activities and subdemand systems of the translog type for different fuel types. The conversion of energy is modelled using an IO model of the energy sector. Measures for carbon dioxide reduction from detailed expert studies are introduced in the energy model and in the econometric model. The primary impacts are on energy demand, fuel shares and investment in new energy technologies. The simulation results of the partitioned IO model show different impacts on gross output, GDP and employment.     

Environmental participation in the U.S. sulfur allowance auctions

The 1990 Clean Air Act established a sulfur emissions-trading program among utilities. This was the first large scale adoption of this type of emissions-trading program and the program’s success has attracted international attention. An interesting aspect of this program is that in addition to trades among the polluting firms and brokers or investors, individuals and groups have been participants, buying allowances to retire them and reduce sulfur emissions. This provides a relatively unique way to examine the “willingness to pay” for further reductions of sulfur emissions. I examine environmental participation in the sulfur allowances market, focusing on the Environmental Protection Agency (EPA) allowance auctions which have been conducted annually since 1993. The existence of groups purchasing these allowances in order to retire them suggests that the overall cap on sulfur emissions may be higher than the optimal emissions level. The marginal benefits from the first ton of emissions reduction appear to be significantly larger than marginal abatement costs. Total spending to retire sulfur emissions allowances, while small in relation to the total market, is sizeable in terms of the alternate purchases these groups and individuals could have made.      

衍生品的税收问题：国际比较和借鉴

随着国内金融衍生市场的兴起，是否对衍生品交易进行征税以及如何征税的问题提上了日程。本文对全球成熟市场衍生品课税问题进行了梳理和对比，对国内衍生品的税收设计和管理提出了相关政策建议。     

基于博弈论的贸易政策选择分析

本文初步探讨了各国采用不同贸易政策对其外贸的影响，进而构建了贸易政策决策的博弈模型。在两国模型静态博弈下，博弈双方的贸易政策决策的纳什均衡解是（保护，保护），而在动态的非重复博弈的情况下，各国贸易政策很有可能发生逆转，其关键是博弈方之间存在着可法定或可信任的许诺。     

Competition to provide liquidity on the New York Stock Exchange

In order to be successful in attracting trading volume and generate revenue from trading fees, exchanges must allow potential traders to transact quickly at a known price. This is known as providing liquidity. On the New York Stock Exchange, liquidity comes from two sources: traders conducting business on the floor of the exchange and those who electronically send orders to the exchange from off-floor locations. On-floor traders have traditionally been alleged to have advantages over off-floor traders. If that is the case, then this might discourage off-floor traders from providing liquidity and reduce the efficiency of security markets. We find that on-floor traders do seem to enjoy some advantages in providing liquidity, although the differences are not great. This suggests that the New York Stock Exchange is warranted in several of its recent initiatives designed to level the playing field between on- and off-floor traders.     

How does HFT activity impact market volatility and the bid-ask spread after an exogenous shock? An empirical analysis on S&P 500 ETF

In this paper, we empirically analyse infra-second datasets of the SPDR S&P 500 ETF (specifically, the ETF of the S&P 500 exchanged on BATS, named SPY.Z) in order to explain how high-frequency trading (HFT) activities (aggressive and passive) impact market volatility and the bid-ask spread before and after an exogenous shock (i.e., the 2016 US presidential election). Using SPDR S&P 500 ETF datasets as a proxy for the market on regular volume trading days (November 3, 2016) and on high-volume trading days (November 9, 2016), we show that HFT, on average, has a disturbing action mainly on regular volume trading days, whereas on high-volume trading days, it appears to have a stabilizing effect by balancing both the volatility and bid-ask spread. That is, HFT as a whole has a more neutral impact on the market’s volatility and bid-ask spread than the single aggressive and passive components. In fact, aggressive HFT has a consistent negative effect that increases, on average, both the volatility and bid-ask spread, whereas passive HFT displays a positive effect that decreases, on average, the volatility and bid-ask spread.     

Configuring land tenure caused by fixed residence according to the societal control system of North Korea: Focus on forestry carbon trading

The failure in addressing tenure rights in North Korea could be a severe obstacle to introducing forestry carbon trading since it becomes difficult for the land occupant to serve as a supporter to maintain the carbon pool. North Korea is one of the few countries in the world, holding a people’s registration system. North Korean citizens use lands allocated by the State for their entire life because they are not free to move their residences. The article indicates that the people’s registration card is solid evidence for fixed residence and stable land tenure. The card could be used as evidential documents to compensate carbon credit owners in compliance with the international standards for land tenure recognition. This article established a solid evidential foundation to introduce land tenure in North Korea.     

Emission permits and the dynamics of clean and dirty firms in an evolutionary competition model

Emission Trading Systems (ETSs) are today regarded as the pillar of market‐based environmental policies in many countries. This paper studies the impact of an ETS on the dynamics of the market made up of two types of firms: clean and dirty. Using an evolutionary context, we study how the share of clean firms evolves at different parameter values, such as increasing values of the permits’ price floor, and show that an ETS can have positive effects on the diffusion of the clean technology. However, numerical simulations show that under specific parameter values the opposite result may emerge with clean firms leaving the market.     

Testing market efficiency with the pricing kernel

Market efficiency and the pricing kernel are closely related. A non-monotonic decreasing pricing kernel implies the existence of a trading strategy in contingent claims that stochastically dominates a direct investment in the market. Moreover, a market is assumed to be efficient only if no dominating strategies exist. Empirically, many studies of the pricing kernel find non-monotonicity, apparently ruling out market efficiency. However, these results are often unreliable, because the pricing measures of the pricing kernel are estimated using differing filtration sets. We show this effect both theoretically and empirically, and we discuss recent approaches in the literature for achieving more reliable estimates of the pricing kernel, potentially leading to better tests of market efficiency.     

投资者情绪与股票收益——来自移动互联网的实证研究

移动互联网的高速发展使得越来越多的投资者通过移动互联网获取信息并做出投资决策。文章利用网络爬虫技术收集来自移动互联网的用户讨论信息，研究来自移动互联网的用户情绪对股票收益的影响，实证结果显示：移动互联网用户情绪存在显著不对称特征，其更倾向于表现积极乐观的情绪，且其正负面情绪差异大于PCs端；同时，移动互联网用户情绪越乐观，下一期股票收益越高。进一步实证结果表明，处于较差信息环境（如散户持股较高，分析师跟踪人数较少）的公司，移动互联网用户情绪对其股票收益的影响更加显著；此外，对于流动性越差的公司，移动互联网用户情绪对其股票收益的影响也越显著。文章研究结论为移动互联网时代的投资者优化投资决策提供了新的视角，也是对行为金融学中传统媒体定价领域的重要补充。