Search results for "TF"
showing 10 items of 1652 documents
The Dynamics of Quote Prices in an Artificial Financial Market with Learning Effects
2007
In this paper we study the evolution of bid and ask prices in an electronic financial market populated by portfolio traders who optimally choose their allocation strategy on the basis of their views about market conditions. Recently, a growing literature has investigated the consequences of learning about the returns process1. There has been an increasing interest in analyzing what are the implications of relaxing the assumption that agents hold correct expectations. In particular, it has been asked the fundamental question of understanding if typical asset-pricing anomalies (like returns predictability, and excess volatility) can be generated by a learning process about the underlying econ…
Minimising value-at-risk in a portfolio optimisation problem using a multi-objective genetic algorithm
2011
[EN] In this paper, we develop a general framework for market risk optimisation that focuses on VaR. The reason for this choice is the complexity and problems associated with risk return optimisation (non-convex and non-differential objective function). Our purpose is to obtain VaR efficient frontiers using a multi-objective genetic algorithm (GA) and to show the potential utility of the algorithm to obtain efficient portfolios when the risk measure does not allow calculating an optimal solution. Furthermore, we measure differences between VaR efficient frontiers and variance efficient frontiers in VaR-return space and we evaluate out-sample capacity of portfolios on both bullish and bearis…
Purchasing natural personal care products in the era of fake news? The moderation effect of brand trust
2021
Natural personal care products are gaining popularity due to their benefits in terms of health and well-being. However, consumers are wary of these products and are guided by the fake news circulating about them. Since natural product consumption offers several personal and environmental benefits, it would be worthwhile to understand consumers’ tendency to let fake news influence their consumption decisions. Accordingly, the current study examined the association of fake news and purchasing behaviour towards natural personal care products, utilising Stimulus-Organism-Behaviour-Consequence (SOBC) as the theoretical framework. The study proposed openness to change as the stimulus, perceived b…
Why do people purchase from food delivery apps? A consumer value perspective
2021
Consumers are increasingly using food delivery apps (FDAs) to facilitate convenient and quick food delivery. Yet, the existing research offers a limited understanding of consumers’ behavioral responses to the visibility and values derived from FDAs. Our study utilized the theory of consumption values (TCV) to examine associations between FDA visibility, consumption values, and purchase intentions. The mediating role of consumption values and the moderating role of attitude was also studied. A qualitative study was conducted with 15 FDA consumers to derive context-specific consumption values. Responses from 355 FDA consumers from the United States of America (USA) were obtained through Proli…
Controlling risk through diversification in portfolio selection with non-historical information
2017
We deal with the portfolio selection problem for investors having information on the expected returns of the assets based not only on historical data. In the absence of a way of measuring the risk of non-historical information, the investor may try to adjust it through the consideration of a suitable set of diversification constraints. With this aim, we relate the concept of value of information (recently introduced by Kao and Steuer) to a qualitative subjective measure of the investor’s level of confidence in his/her non-historical information. As an illustration, we analyze the behavior of the proposed indicator in the Spanish IBEX35 index for risk, upper bound, semicontinuous variable an…
Toward an understanding of price wars: Their nature and how they erupt
2001
Abstract This paper aims to improve our understanding of the unique phenomenon of market competition, called price wars, as little is known about their nature and how they erupt. More precisely, we offer selected illustrations of the reality of price wars, identify key attributes of price wars, propose a definition of price wars, and offer a conceptual framework in which early warning signals (EWSs) of price wars are distilled and linked to the likelihood and the intensity of such wars. Also, initial empirical findings on some of the effects of price wars are offered, showing that price wars inflict substantial damage on the companies involved. Implications for researchers entail that numer…
Innovating across boundaries: A portfolio perspective on innovation partnerships of multinational corporations
2016
Abstract This paper examines how and under what conditions alliance portfolio diversity influences a firm's innovative performance, with special attention being given to potential performance differences between multinational corporations (MNCs) and domestic firms. Analyses of data from 1045 German firms, among which 598 MNCs, revealed an inverted U-shaped relationship between alliance portfolio diversity and MNCs’ innovative performance. Findings also indicate MNCs to be better positioned than their domestic counterparts with regards to translating alliance portfolio diversity into superior innovative performance. Importantly though, this only holds for MNCs equipped with strong internal R…
MARKET CORRELATION, MARKET RETURNS AND PORTFOLIO IMPLICATION
2012
In this paper we examine the market correlation and market returns from Romanian perspective. Market returns are higher in emerging markets than developed market returns, but form portfolio perspective it`s also important to evaluate how much correlations are changing in emerging markets. Our results are important in allocation of financial instruments in institutional portfolio management.
A Portfolio Problem with Uncertainty
2000
In this paper we present two models for cash flow matching with an uncertain level of payments at each due date. To solve the problem of minimising the initial investment we use the scenario method proposed by Dembo, and the robust optimisation method proposed by Mulvey et al. We unify these optimisation methods in a general co-ordinated model that guarantees a match under every scenario. This general model is also a multi-objective programming problem. We illustrate this methodology in a problem with several scenarios.
Determination of Bubble Size Distribution Using Ultrasound Array Imaging
2020
In this article, ultrasonic phased arrays are deployed as an imaging tool for industrial process analysis. Such arrays are typically used for sonar, medical diagnosis, and nondestructive testing; however, they have not yet been applied to industrial process analysis. The precise positioning of array elements and high frequencies possible with this technology mean that highly focused images can be generated, which cannot currently be achieved using ultrasound tomography. This article aims to highlight the potential of this technology for the measurement of bubble size distribution (BSD) and to demonstrate its application to both intrusive and noninvasive process measurements. Ultrasound imag…