The impact of crude oil inventory announcements on prices: Evidence from derivatives markets

This study examines the impact of weekly crude oil storage announcements on oil futures and options prices. We document evidence of a strong announcement day effect on both markets, and find prices to move in anticipation of the inventory surprise. Futures returns significantly decrease with positive surprises and increase with negative surprises. There is no evidence of an asymmetric impact on futures prices. Near‐the‐money options exhibit the greatest price sensitivity, and the magnitude of the price response of both futures and options declines with maturity. The results remain robust even after controlling for various macroeconomic and other storage‐related news variables.     

Critical success factors determining performance of cross‐border acquisition: Evidence from the African telecom market

This study investigates the factors affecting Bharti Airtel's cross‐border postacquisition performance in an African market. This study describes the relationships among various factors such as technical capability, affiliated firm's absorptive capacity, and organizational learning capabilities, which determine the successful operations of the Zain acquisition deal in South Africa. This paper adopts a qualitative approach to identify factors that influence the postacquisition performance. Seven factors are identified based on the literature. Consequently, it has become a necessity to encapsulate these factors in suitable proportions. In this study, we have developed a total interpretive structural modeling (TISM) to analyze the postacquisition performance of Bharti Airtel in South Africa. Our research has highlighted six dynamic factors (organizational learning capability, knowledge management, technology capability, technology relatedness, acquirer's absorptive capacity, and national culture difference) that affect the firm's postacquisition performance. The interpretive structural model (ISM) and total interpretive structural model for postacquisition performance are built‐up. The developed TISM will support academics and practitioners to develop their understanding of acquisition performance of parent companies in the context of telecom business in the South African market.     

Losers and prospectors in the short-term options market

Intraday data for weekly options are investigated for behavioral biases implied in prospect theory (PT) and cumulative prospect theory (CPT). The results generally support both theories, with losers (winners) observed to be relatively risk-seeking (averse). On aggregate, losers (winners) overprice (underprice) their contracts and overweight (underweight) the probability of winning. Additionally, the volatility smirk observed in equity options is dampened by PT/CPT biases. The price distortions are time sensitive, especially for losing traders. Losers hold out by transacting later in the day and closer to expiration than their baseline counterparts. This betting-time effect is absent among winners.     

Information Transmission between Mature and Emerging Equity Markets During Normal and Crisis Periods: An Empirical Examination

In this paper, we examine the price discovery and volatility spillovers between eight mature market economies (MMEs) and eight emerging market economies (EMEs) from January 2003 to July 2014, covering three sub-periods—prior to the 2007–09 global financial crisis (GFC), during the crisis, and post-crisis. The results of price discovery indicate that MMEs lead EMEs in the pre-crisis and post-crisis periods. All MMEs are cointegrated with China in the pre-crisis period but not in the post-crisis period. Dynamic cointegration results reconfirm our findings from Johansen’s co-integration test. The asymmetric dynamic conditional correlation (ADCC-GARCH) coefficients suggest a regional pattern among MMEs and EMEs, except in the case of European MMEs with South Africa. Employing BEKK-GARCH model, we find that volatility spillovers of MMEs with China and of Italy with EMEs weakened in the post-crisis period as compared to the pre-crisis period implying that the GFC damaged the information transmission process, particularly for China and Italy. While China is a large economy with strong trade linkages with the rest of the world, Italy is one of the larger European economies which was in relatively greater distress during the EDC. The findings have implications for policy makers and investors.

     

Inflation Linkages Within The Eurozone: Core vs. Periphery

We examine the process of inflation transmission among GIIPS countries (Greece, Ireland, Italy, Portugal and Spain) and Germany. Our findings suggest that inflation spillovers have increased since 2001. We also find that peripheral economies are (dis‐)inflation transmitters to the core. This finding is significant for policy formulation, given the very low inflation environment that currently exists in the Euro area and the macroeconomic implications that arise from this.     

Healthcare utilization and costs among relapsed or refractory multiple myeloma patients on carfilzomib or pomalidomide as monotherapy or in combination with dexamethasone

Aim: To compare monthly healthcare resource utilization (HRU) and costs among adult patients with multiple myeloma (MM) receiving second or subsequent line of treatment (LOT) with carfilzomib or pomalidomide as monotherapy or in combination with dexamethasone.

Methods and materials: Adult MM patients who received carfilzomib or pomalidomide as second/subsequent LOT between 2006 and 2014 were selected from the MarketScan databases. LOT was determined using Medical/pharmacy claims using a published algorithm. For each patient, first LOT with carfilzomib or pomalidomide was defined as index LOT. Patients with first LOT as index LOT, who received other chemotherapy in combination with carfilzomib or pomalidomide, or who underwent stem cell transplant (STC) during index LOT were excluded. Monthly HRU and costs during index LOT were compared using inverse probability of treatment weights (IPTW) based on propensity scores for receipt of carfilzomib estimated by logistic regression with LOT, patient demographics, Charlson index, comorbidities, pre-index healthcare cost, and receipt of prior SCT as covariates.

Results: After weighting, baseline characteristics were well balanced among 114 carfilzomib and 144 pomalidomide patients. Mean (95% CI) numbers of outpatient visits per month were 7.1 (5.2–8.0) with carfilzomib and 4.7 (3.9–6.1) with pomalidomide (p?=?0.006). Otherwise, there were no statistically significant differences between the groups in mean monthly HRU and costs or median time to therapy discontinuation. Mean (95% CI) monthly total healthcare costs were $19,776 (15,322–27,748) with pomalidomide and $17,321 (12,412–21,874) with carfilzomib (p?=?0.522).

Limitations: Comparison of carfilzomib vs pomalidomide may be biased if there are unobserved factors not balanced by IPTW. The relatively small sample size limits the power of analyses to detect potential differences between treatment groups.

Conclusions: Monthly HRU and costs are similar among patients with relapse or refractory MM patients receiving carfilzomib or pomalidomide as monotherapy or in combination with dexamethasone.     

Effects of Mood and Elaboration on Processing and Evaluation of Goal‐Framed Appeals

Two experiments examined the influence of mood and elaboration on consumer processing and evaluation of goal‐framed appeals. Subjects displayed more favorable attitudes and purchase intent (PI) when exposed to negative goal frames than equivalent positive ones. These effects were attenuated under high‐elaboration conditions. Compared to subjects in positive moods, those in negative moods exhibited more favorable thoughts, attitudes, and PI toward negative goal frames. Finally, mood and frame valence did not affect depth of processing but had a consistent impact on style of processing, that is, positive frames and moods induced relational processing whereas negative frames and moods engendered item‐specific processing.     

An intelligent and secure system for predicting and preventing Zika virus outbreak using Fog computing

Zika virus is a mosquito-borne disease that spreads very quickly in different parts of the world. In this article, we proposed a system to prevent and control the spread of Zika virus disease using integration of Fog computing, cloud computing, mobile phones and the Internet of things (IoT)-based sensor devices. Fog computing is used as an intermediary layer between the cloud and end users to reduce the latency time and extra communication cost that is usually found high in cloud-based systems. A fuzzy k-nearest neighbour is used to diagnose the possibly infected users, and Google map web service is used to provide the geographic positioning system (GPS)-based risk assessment to prevent the outbreak. It is used to represent each Zika virus (ZikaV)-infected user, mosquito-dense sites and breeding sites on the Google map that help the government healthcare authorities to control such risk-prone areas effectively and efficiently. The proposed system is deployed on Amazon EC2 cloud to evaluate its performance and accuracy using data set for 2 million users. Our system provides high accuracy of 94.5% for initial diagnosis of different users according to their symptoms and appropriate GPS-based risk assessment.     

Productivity,Energy Intensity and Output: A Unit Level Analysis of the Indian Manufacturing Sector

Journal of Quantitative Economics - The objective of this study is to calculate total factor productivity and determine factors related to energy intensity for the pre-existing manufacturing plants...