Search Results - subject:"Data driven"

The Calendar Effects of the Idiosyncratic-Volatility Puzzle : A Tale of Two Days?

Cao, Jie Jay - 2020

The idiosyncratic volatility (IVOL) anomaly exhibits strong calendar effects. The negative relation between IVOL and the next month return obtains mainly in the third week of the month. The IVOL-return relation is generally negative on Mondays and positive on Fridays. However, the positive...

Persistent link: https://www.econbiz.de/10012827467

Changes of the Time Intervals Specific to Calendar Anomalies : The Case of TOQ Effect on Bucharest Stock Exchange

Stefanescu, Razvan - 2020

The Turn-of-the-quarter (TOQ) Effect is a calendar anomaly consisting in abnormal returns occurring in a specific time interval, that starts in the mth last trading day of a quarter (BQ-m) and ends in the nth last trading day of a quarter (BQ+n). As many other anomalies, the TOQ Effect is not...

Persistent link: https://www.econbiz.de/10012824545

Calendar Anomalies in BSE Sensex Index Returns in Post Rolling Settlement Period

Sathish, Dr. P. Nageswari - 2020

Calendar Anomalies in the stock market are those patterns that cannot be explained by traditional asset pricing models. Examples of such patterns include the January Effect, the Day-of-the-Week Effect, and the Week of the Month Effects. These anomalies allow investors to develop trading...

Persistent link: https://www.econbiz.de/10012825055

Seizing the business opportunities of the MyData service delivery network : transforming the business models of health insurance companies

Pikkarainen, Minna; Koivumäki, Timo; Iivari, Marika - In: Journal of business models : JOBM 8 (2020) 2, pp. 39-56

Purpose: This paper discusses how personal data-driven service delivery networks based on MyData phenomenon may impact …

Persistent link: https://www.econbiz.de/10012269756

Opportunity complementarity in data-driven business models

Xu, Yueqiang; Kemppainen, Laura; Ahokangas, Petri; … - In: Journal of Business Models (JOBM) 8 (2020) 2, pp. 92-100

opportunity complementarity as a key antecedent and construct for the ecosystem-based value creation and capture in data-driven …

Persistent link: https://www.econbiz.de/10015409245

Seizing the business opportunities of the MyData service delivery network: Transforming the business models of health insurance companies

Pikkarainen, Minna; Koivumäki, Timo; Iivari, Marika - In: Journal of Business Models (JOBM) 8 (2020) 2, pp. 39-56

Purpose: This paper discusses how personal data-driven service delivery networks based on MyData phenomenon may impact …

Persistent link: https://www.econbiz.de/10015409310

Supporting data-driven business model innovations: A structured literature review on tools and methods

Fruhwirth, Michael; Ropposch, Christiana; … - In: Journal of Business Models (JOBM) 8 (2020) 1, pp. 7-25

Purpose: This paper synthesizes existing research on tools and methods that support data-driven business model … comparatively emergent nature of the field. Findings: Current literature on supporting data-driven business model innovation differs … developing data-driven business models and also the development on chains of tools related to this have been under …

Persistent link: https://www.econbiz.de/10015409401

Opportunity complementarity in data-driven business models

Xu, Yueqiang; Kemppainen, Laura; Ahokangas, Petri; … - In: Journal of business models : JOBM 8 (2020) 2, pp. 92-100

opportunity complementarity as a key antecedent and construct for the ecosystem-based value creation and capture in data-driven …

Persistent link: https://www.econbiz.de/10012489862

Supporting data-driven business model innovations : a structured literature review on tools and methods

Fruhwirth, Michael; Ropposch, Christiana; … - In: Journal of business models : JOBM 8 (2020) 1, pp. 7-25

Persistent link: https://www.econbiz.de/10012489889

Network orchestration and system dynamics modeling in developing innovative decision support systems for policy makers

Pikkarainen, Minna; Gomes, Julius Francis; Ranta, Jukka; … - In: Managing digital open innovation, (pp. 177-198). 2020

Persistent link: https://www.econbiz.de/10012250386