Investigations of the linear and non-linear flow harmonics using the A Multi-Phase Transport model

The Multi-Phase Transport model (AMPT) is used to study the effects of the parton-scattering cross-sections ($\sigma_{pp}$) and hadronic re-scattering on the linear contributions to the flow harmonic \fourth, the non-linear response coefficients, and the correlations between different order flow symmetry planes in Au+Au collisions at 200~GeV. The model results, which agree with current experimental measurements, indicate that the higher-order flow harmonics are sensitive to the $\sigma_{pp}$ variations. However, the non-linear response coefficients and the correlations between different order flow symmetry planes are $\sigma_{pp}$ independent. These results suggest that further detailed experimental measurements which span a broad range of collision systems and beam energies could serve as an additional constraint for the theoretical models' calculations.

Macroeconomic News and Exchange Rates: Exploring the Role of Order Flow

This article studies the effects of macroeconomic news announcements and order flow on exchange rates in Pakistan by considering both direct and indirect information channels during news announcements periods. For this purpose, it employs GARCH models by using real-time data on macroeconomic news, order flow, and exchange rates. The findings reveal that macroeconomic news directly, and indirectly affect Pak Rupee exchange rates. The results also show that the order flow drives fluctuations in Pak Rupee exchange rates indicating the role of trade signals and trading strategies of currency traders in the exchange rate determination. Hence, as part of an aggregated economic component and means of public and private information, macroeconomic news and order flow impact Pak Rupee exchange rates as an integrated determinant. When macroeconomic news strikes the foreign exchange market, it affects the decisions of market makers, influencing order flow, and then exchange rates.

Foreign Exchange Volume

We investigate the information contained in foreign exchange (FX) volume using a novel data set from the over-the-counter market. We find volume helps predict next-day currency returns and is economically valuable for currency investors. Predictability implies a stronger return reversal for currency pairs with abnormally low volume and is driven by the component of volume unrelated to volatility, liquidity, and order flow. We rationalize these findings via a simple model, in which FX volume helps reveal the degree of asymmetric information in currency markets. Testing this prediction shows that asymmetric information is uniform across currency pairs but varies across instruments.

Information content of order flows in the FX market: importance of nonfundamental factors

PurposeThe purpose of the paper is to show that order flows determine exchange rate dynamics because they carry information about nonfundamental factors besides macroeconomic fundamentals.Design/methodology/approachTo understand the role of nonfundamental factors in driving order flows, this study uses two approaches. Initially, Evans and Rime (2016) VAR framework is followed to study the incremental information transmitted by order flow compared to macroeconomic variables. Then, the study uses the settings in which Rime et al. (2010) conduct their empirical work, which gives the researcher more latitude in specifying the identity of the factors that drive order flows.FindingsThe findings evidence that order flows explain the dynamics of the TND/USD exchange rate. The results highlight that order flows convey information about technical strategies, the currency systematic factors and political risk. This study also documents the presence of a Ramadan effect in exchange rates and order flows.Originality/valueThis study makes four contributions to the literature. First, it complements the literature on the FX microstructure of emerging markets. The study investigates the information content carried by order flows, while the previous literature has focused solely on examining the explanatory power of order flows to explain exchange rates in emerging countries. The second contribution is that the study demonstrates formally that order flows determine exchange rates because they transmit information about nonfundamental factors. Third, this study is the first to examine whether order flows convey information about technical analysis. Four, the study relates order flow to nontraditional factors that are relevant to the Tunisian FX market.

Sharing Economy for Cost Reduction and Efficiency Increase: The Case of Sharing E-Commerce Logistics

In the real business environment, due to unpredictable market demand or high prediction difficulty and low prediction accuracy, there will be inevitably operational loss in the field of e-commerce logistics caused by undersupply or oversupply of express service capabilities. At present, China is deepening the supply-side structural reforms. Confronted with the growing demand for e-commerce logistics express delivery, especially the urgent demand for tackling orders piling up to 1 billion pieces during the recent “Double 11” shopping carnival, it is very important and practical for us to study how to make scientific decisions on the supply side in the field of e-commerce express delivery. Therefore, in this paper, we design a sharing logistics cooperation mechanism considering both the undersupply and oversupply of express delivery service capabilities under stochastic demand. By comparing the earnings data of several listed express companies, we analyze four types of optimization strategies: the order flow proportion revenue sharing strategy (RE-OFP), the combined factors revenue sharing strategy (RE-RSF), the order flow proportion risk sharing strategy (RS-OFP), and the combined factors risk sharing strategy (RS-RSF). The research results demonstrate that the four optimization strategies of RE-OFP, RE-RSF, RS-OFP, and RS-RSF could achieve Pareto improvements in the operational performance of e-commerce express service. The performance of four revenue sharing and risk sharing strategies varies with different revenue sharing or risk sharing factors. Under some certain combined factors, the revenue sharing contract could help realize the supply chain coordination of the sharing logistics service. The sharing logistics cooperation mechanism based on equity investment proposed hereafter provides a feasible solution to solve the problems of high empty driving rate and operational cost of e-commerce express delivery service in urban areas.