Automated ANN alerts : one step ahead with mobile support

In this paper, I examine the potential of mobile alerting services empowering investors to react quickly to critical market events. Therefore, an analysis of short-term (intraday) price effects is performed. I find abnormal returns to company announcements which are completed within a timeframe of minutes. To make use of these findings, these price effects are predicted using pre-defined external metrics and different estimation methodologies. Compared to previous research, the results provide support that artificial neural networks and multiple linear regression are good estimation models for forecasting price effects also on an intraday basis. As most of the price effect magnitude and effect delay can be estimated correctly, it is demonstrated how a suitable mobile alerting service combining a low level of user-intrusiveness and timely information supply can be designed

Mobile qualified electronic signatures for secure mobile brokerage

Despite a legal framework being in place for several years, the market share of qualified electronic signatures is disappointingly low. Mobile Signatures provide a new and promising opportunity for the deployment of an infrastructure for qualified electronic signatures. We that SIM-based signatures are the most secure and convenient solution. However, using the SIM-card as a secure signature creation device (SSCD) raises new challenges, because it would contain the user’s private key as well as the subscriber identification. Combining both functions in one card raises the question who will have the control over the keys and certificates. We propose a protocol called Certification on Demand (COD) that separates certification services from subscriber identification information and allows consumers to choose their appropriate certification services and service providers based on their needs. This infrastructure could be used to enable secure mobile brokerage services that can ommit the necessity of TAN lists and therefore allow a better integration of information and transaction services

Assessing Customers\u27 Value of Mobile Financial Information Services: Empirical-Based Measures

In this paper, we assess customers’ value which can be provided by mobile financial information services enabling private investors to react promptly to critical market events and to exploit the subsequent abnormal intraday stock price movements. We present two frameworks for evaluating customers’ benefits of a corresponding investment. First, we empirically analyze the impact of timelier information supply on market returns. Our findings indicate that any reduction of the reaction time significantly increases revenues that can be realized by customers. Second, we propose a novel approach to measure customers’ benefits by simulating realizable yields considering trading volumes, transaction costs, and reaction delays on the basis of historical market events and empirical intraday stock price series. The results provide evidence as to how the trading behavior of customers and different product implementation alternatives can affect customers’ benefits and, therefore, the evaluation of the IT investment

Mobile Brokerage Infastructures - Capabilities and Security Requirements

This paper investigates the potential of integrated mobile financial information and transaction services which can help private investors in making time-critical investment decisions and portfolio transactions in time. The analysis of intraday stock price reactions following company announcements provides evidence regarding the added value of such services if abnormal price movements can be observed. As efficient capital markets react very quickly to new information available, private investors require combined mobile notification and transaction services. So far, existing concepts can not fulfill these requirements which results from inappropriate implementation of the security mechanisms in order to realize secure and trustworthy processing. After identifying potential weaknesses of current solutions we introduce an adequate system infrastructure which can realize secure information and transaction processing in time by permitting a smart integration of notification and transaction services

Automated ANN alerts: one step ahead with mobile support

In this paper, I examine the potential of mobile alerting services empowering investors to react quickly to critical market events. Therefore, an analysis of short-term (intraday) price effects is performed. I find abnormal returns to company announcements which are completed within a timeframe of minutes. To make use of these findings, these price effects are predicted using pre-defined external metrics and different estimation methodologies. Compared to previous research, the results provide support that artificial neural networks and multiple linear regression are good estimation models for forecasting price effects also on an intraday basis. As most of the price effect magnitude and effect delay can be estimated correctly, it is demonstrated how a suitable mobile alerting service combining a low level of user-intrusiveness and timely information supply can be designed

Using big data for customer centric marketing

This chapter deliberates on “big data” and provides a short overview of business intelligence and emerging analytics. It underlines the importance of data for customer-centricity in marketing. This contribution contends that businesses ought to engage in marketing automation tools and apply them to create relevant, targeted customer experiences. Today’s business increasingly rely on digital media and mobile technologies as on-demand, real-time marketing has become more personalised than ever. Therefore, companies and brands are striving to nurture fruitful and long lasting relationships with customers. In a nutshell, this chapter explains why companies should recognise the value of data analysis and mobile applications as tools that drive consumer insights and engagement. It suggests that a strategic approach to big data could drive consumer preferences and may also help to improve the organisational performance.peer-reviewe