Intraday market effects in electronic soybean futures market during non-trading and trading hour announcements

This article investigates market reactions to major United States Department of Agriculture announcements during non-trading and trading hours in the soybean futures market using microstructure data. Following report release, volume increases and remains elevated for up to 15 to 20 minutes. The volume spikes for the non-trading releases relative to the trading releases, but are identical after the first reaction. Report releases during non-trading hours cause a large spike in volatility at the onset of trading which subsides quickly. In contrast, releases during trading hours result in a smaller volatility spike, which extends for 5–6 min at a higher magnitude. Adjusting volatility by normal trading volatility indicates that volatility in trading hour release is higher in both immediate response and persistence. Return correlations provide little evidence to support systematic under- or overreaction in prices regardless of when the report is released reflecting the efficiency of the market.     

Macroeconomic shocks and stock market returns: the case of Korea

This study examines the effects of macroeconomic shocks on key macro variables, including stock market returns in Korea, using the structural vector autoregression (SVAR) model. We suggest a three-variable SVAR model incorporating inflation, output growth and stock returns. We adopt a nonzero z-ratio restriction for the long-run identifying assumption to allow for economically meaningful relationships among variables. While our results support the negative (positive) relation of demand (supply) shocks to stock returns, we also find that demand shocks influence stock market variance more significantly than supply shocks do. The sub-period analysis finds that global market fluctuations during the global financial crisis have relatively little effect on Korean stock market performance. We also examine a generalized five-variable model that includes the foreign exchange rate and interest rate, confirming the results from the three-variable case.     

The revenue potential of a financial transaction tax for US financial markets

This paper estimates the revenue potential of a financial transaction tax (FTT) for US financial markets. We focus on analyzing the revenue potential of the Inclusive Prosperity Act that was introduced in the US House of Representatives in 2012 and the US Senate in 2015. The tax rates stipulated in this Act include 0.5% (50 basis points (bps)) for all stock transactions, 0.1% (10 bps) for all bond transactions and 0.005% (0.5 bps) on the notional value of all derivative trades. We examine three sets of evidence to generate potential revenue estimates: 1) the levels of transaction costs in US financial markets over time and within the range of financial market segments; 2) the extent of trading elasticities under various trading conditions; and 3) the current level of trading activity in US financial markets. Based on this evidence, we conclude that a US FTT operating at the tax rates stated above would generate about $220 billion per year, equal to about 1.2% of the current US GDP.     

Is Marx's absolute rent due to a monopoly price?

ABSTRACT

Absolute rent, in Marx's view, has an upper limit represented by the difference between the value and the price of production of agricultural commodities. The relevance of this limit was questioned by Bortkiewicz because of the difficulties concerning the argument which Marx based it on. The lack of this upper limit prompted some scholars to claim that there is no difference between absolute rent and a rent paid by a monopoly price. Referring to the classical/Marxian theory of monopoly price, we shall argue that it is still possible to distinguish absolute rent from a rent due to a monopoly price.     

Mortgage product diversity: responding to consumer demand or protecting lender profit? An asymmetric panel analysis

This article explores determinants of mortgage product diversity for owner-occupied and investment loans in the Australian housing mortgage market. From 2001 to 2012, 65 lenders introduced 1220 mortgage products in Australia. We examine whether the product proliferation was a result of consumer demand or a response to pressure to lower lending rates. We find that consumer demand for mortgages does not have a significant relationship with the number of mortgage products, but that decreases in the policy interest rate are highly significant as an explanatory variable for product proliferation. Such behaviour is consistent with information obfuscation, reducing the ease with which consumers can compare lending rates. Further, the relationship between mortgage products offered and the policy interest rate is asymmetric: decreases in the cash rate are associated with increased mortgage products offered, but increases in the cash rate have a more muted effect on decreasing the number of products.     

要素价格扭曲与异质性企业区位选择——基于泊松面板回归的实证研究

采用生产函数法,论文详细测算了1998-2007年中国大陆除西藏以外267个城市的要素价格扭曲。接下来,运用中国工业企业数据库中的数据,构建泊松面板回归模型考察了要素价格扭曲对于不同生产效率企业选址产生的影响。按行业、区域分别划分样本以及稳健性检验均表明:(1)较高的要素价格扭曲水平对于该地区新进入的低效率企业的期望值具有显著为正的影响,而对于该地区新进入的高效率企业的期望值则具有显著为负的影响;(2)地区运输成本和环境管制强度对于不同效率企业选址的影响存在异质性,而其他区域特征解释变量对于选址企业数量的影响均显著,且方向与理论预期一致。     

Auction theory adaptations for real life applications

We develop extensions to auction theory results that are useful in real life scenarios.1. Since valuations are generally positive we first develop approximations using the log-normal distribution. This would be useful for many finance related auction settings since asset prices are usually non-negative.2. We formulate a positive symmetric discrete distribution, which is likely to be followed by the total number of auction participants, and incorporate this into auction theory results.3. We develop extensions when the valuations of the bidders are interdependent and incorporate all the results developed into a final combined realistic setting.4. Our methods can be a practical tool for bidders and auction sellers to maximize their profits. The models developed here could be potentially useful for inventory estimation and for wholesale procurement of financial instruments and also non-financial commodities.All the propositions are new results and they refer to existing results which are stated as Lemmas.     

Are price strategies effective in managing demand of high residential water users?

Encouraging water use efficiency and water conservation is one of the primary goals of water utility companies nationwide. This study estimates price elasticity of residential water demand to measure the responsiveness of water use to price changes, particularly for high water users. Household-level water use data for high residential water users from Central Florida were analysed using 3-stage least square (3SLS). Estimated price elasticity ranges between ?0.07 and ?0.14. This price elasticity estimate is below most of the estimates reported in the literature (in absolute value). The results imply that for price strategies to be effective in managing water demand of high residential water users, a significant price increase would be needed. Overall, this study highlights the importance of designing water conservation policies tailored to specific groups of customers, and the importance of using these strategies effectively and fairly for different customer groups.     

Using FRED data to teach price elasticity of demand

In this article, the authors discuss the use of Federal Reserve Economic Data (FRED) statistics to teach the concept of price elasticity of demand in an introduction to economics course. By using real data in its computation, they argue that instructors can create a value-adding context for illustrating and applying a foundational concept in economics. Additionally, this pedagogical strategy contributes to developing an expected proficiency for economics majors related to “interpreting and manipulating data” (Hansen 2009, 2012). The authors provide step-by-step instructions on how to use FRED to compute the price elasticity of demand for motor vehicle fuels and gasoline as well as examples of in-class discussion questions and take-home assignments related to this instructional technique.     

中国公司债券交易量与价格波动的关系

使用中国沪深证券交易所的公司债数据,检验了债券交易量与价格波动的线性关系和非线性尾部相关性,分析了债券流动性水平对量价关系的影响,研究了债券量价关系的时变特征。结果表明:中国公司债市场中债券交易量与价格波动之间存在显著的线性关系;债券流动性水平对量价关系有显著影响,债券流动性水平越高(低),则量价关系越弱(强);债券交易量与价格波动存在非对称的下尾相关性;债券量价关系具有时变性,市场低风险时期量价关系较弱,市场高风险时期量价关系较强。