债务展期视角下的中小企业融资担保问题——基于《破产法》(2007)的若干条例

依据《破产法》(2007)对清偿顺序的规定,将担保分为拥有优先清偿权的债务担保和普通债务担保,并推导出展期下的两类担保定价公式;采用数值积分求得近似解,并运用二叉树及蒙特卡洛模拟等方法对解的准确性进行检验;对资产负债比、波动率等重要因子相继进行静态、比较静态以及动态分析,并结合实际数据给出了相应的结论。     

生鲜农产品供应链系统有序度评价研究——日本生协数据的实证分析与启示

文章借鉴结构熵理论建立了生鲜农产品供应链系统有序度的评价方法,将生鲜农产品供应链系统的有序度分为流通损耗有序度和可追溯性有序度,在此基础上,利用该评价方法和调研日本生协最大的分支机构——Coopnet生协所获得的一手数据,对传统的"批发市场购进——店面销售"和新型的"产直购进——宅配销售"两种生鲜农产品供应链系统的有序度进行了对比分析,并结合分析结果,总结了日本生协生鲜农产品供应链系统变革对我国农产品流通的启示。     

论商业秘密的民法保护

民法保护是商业秘密法律保护的重要组成部分,对于保护商业秘密权利人的合法权益,维护正常的市场竞争环境,建立和谐的市场竞争秩序,具有十分重要的作用。在民法保护中,应当准确界定商业秘密的权利归属,合理划分侵权诉讼的举证责任,明确商业秘密被侵权时可采取的法律保护形式,依法判定侵权人应当承担的民事法律责任。     

基于“IO-TL”模型的公司多元化逻辑

本文从现有多元化争论现象出发,分析了公司多元化诱因,阐述了多元化影响因素,在此基础上构建公司多元化产生的“IO-TL”模型,随后从动态视角深入分析了多元化“IO-TL”模型,并推理出公司多元化逻辑:公司多元化行为由公司所面临的行业秩序和自身的技术水平状况共同决定,短期内,公司最优多元化程度是存在的、稳定的;从长期来看,公司最优多元化程度随公司所面临的行业秩序和自身的技术水平发展而不断变化     

福建茶叶企业融资优先序及其影响因素分析

在理论分析茶叶企业融资优先序及其影响因素的基础上,通过福建茶叶企业的实地调研,运用ordered logistic针对茶叶企业的融资选择行为进行实证分析,结果发现,企业的经营年限、企业的注册资本、企业主的受教育程度、企业主的管理年限、茶叶企业的利润以及企业融资的外部环境对企业的融资顺序选择有着显著的影响,并得出茶叶企业融资的优先序,进而提出改变产品的销售渠道、提高企业主的受教育程度等政策建议。     

Order aggressiveness and order book dynamics

In this paper, we study the determinants of order aggressiveness and traders’ order submission strategy in an open limit order book market. Applying an order classification scheme, we model the most aggressive market orders, limit orders as well as cancellations on both sides of the market employing a six-dimensional autoregressive conditional intensity model. Using order book data from the Australian Stock Exchange, we find that market depth, the queued volume, the bid-ask spread, recent volatility, as well as recent changes in both the order flow and the price play an important role in explaining the determinants of order aggressiveness. Overall, our empirical results broadly confirm theoretical predictions on limit order book trading. However, we also find evidence for behavior that can be attributed to particular liquidity and volatility effects.

基于数据挖掘的国际货代企业客户订单行为分析

国际贸易的突飞猛进,赋能进出口货物运输的蓬勃发展。国际货运代理企业作为进出口货物运输的无船承运人,如何保证日常订单稳步增长将面临新的机遇和挑战。选取客户订单行为分析作为数据挖掘业务目标,设计了数据挖掘流程。以D公司业务数据为例,选择关联规则数据挖掘方法开展具体的数据挖掘展现,发现订单交易中不同商品之间存在的关联规则并应用于国际货代企业客户关系管理决策实践,为其他同类企业开展具体业务数据挖掘应用提供参考和借鉴。     

强政府与分工、交易秩序的扩展

本文探讨了政府干预在新兴工业化国家实现经济飞速增长中的作用.按照杨小凯的增长模型,经济增长的本质在于市场分工的扩展与深化.欧美发达国家主要依赖市场本身的力量来实现分工的扩展与深化,政府只是对市场失灵进行干预.而新兴工业化国家由于历史和文化的原因,以及对"赶超"发达国家的渴望,政府部分地替代了市场的作用,这种干预对分工和交易的扩展产生了积极的作用,但同时对经济在规则与组织层面上也产生了极大的消极影响.     

A new wavelet-based ultra-high-frequency analysis of triangular currency arbitrage

We develop a new framework to characterize the dynamics of triangular (three-point) arbitrage in electronic foreign exchange markets. To examine the properties of arbitrage, we propose a wavelet-based regression approach that is robust to estimation errors, measurement bias and persistence. Relying on this wavelet-based (denoising) inference, we consider various liquidity and market risk indicators to predict arbitrage in a unique ultra-high-frequency exchange rate data set. We find strong empirical evidence that limit order book, realized volatility and cross-correlations help forecast triangular arbitrage profits. The estimates are statistically significant and relevant for investors such that on average 80−100 arbitrage opportunities exist with a short duration (100−500 ms) on a daily basis. Our analysis also reveals that triangular arbitrage opportunities are counter-cyclical at ultra-high-frequency levels: arbitrage returns tend to increase (decrease) in periods when volatility risk and correlations are relatively low (high). We show that liquidity-driven microstructure measures, however, appear to be more powerful in exploiting arbitrage profits when compared to market-driven factors.     

Size and information revelation in securities trading

We examine differences in information content between order submission sizes and trade sizes by U.S. equity traders. Increasing (decreasing) order submission (trade) size is reflective of information. The result suggests that better-informed traders want to trade in a large size, but that they engage in stealth trading practices or break larger orders into smaller sizes in order to conceal information. While prior studies tend to narrowly focus on trade executions at the market-centre level, our findings indicate that order submission size varies significantly from trade size and that both sizes are informative about future prices, albeit in an inverse manner.