Place in Entrepreneurial Storytelling: A Study of Cultural Entrepreneurship in a Deprived Context

We extend the cultural entrepreneurship perspective by investigating how entrepreneurs in deprived contexts gain legitimacy by leveraging proprietary and public places in their entrepreneurial storytelling. Inspired by the sociology of place, we present a longitudinal study of ten new venture journeys over four years in Kasoa, Ghana. We identify three distinct ways places are used in entrepreneurial narratives: projective significance of place, connective significance of place, and authoritative significance of place. We show how impoverished entrepreneurs construct and communicate places in diverse ways, not only as locations, but also as material and symbolic resources that provide legitimacy for their venturing activities. Drawing from our findings, we generate a model of place-based cultural entrepreneurship and elaborate place as a central resource in cultural entrepreneurship and new venture creation in deprived contexts.     

Formation of entrepreneurial intentions in a regional context

Research on the impact of the regional environment in the very early phase of the business start-up process is currently limited. This paper contributes to the literature by analysing the influence of regional factors on the formation of entrepreneurial intentions within the theory of planned behaviour (TPB) framework. The rationale is based on the previous literature which posits that regional conditions have implications for individual perceptions, which, in turn, constitute the foundation of the three antecedents of intention in the TPB model: attitudes, subjective norm and perceived behavioural control. A multilevel analysis based on a random sample of 834 Finnish working-age individuals, combined with the official national statistics at the municipality level supports the proposition that regional conditions have an indirect impact on the intent to become an entrepreneur. The population density, the level of education, income and wealth and the rate of public and manufacturing sector employment of a region are found to moderate the individual formation of entrepreneurial intentions. This study supports further development of the theoretical understanding of entrepreneurial intentions by demonstrating that regional characteristics are important moderating influences in the TPB model.     

A new technique for calibrating stochastic volatility models: the Malliavin gradient method

We discuss the application of gradient methods to calibrate mean reverting stochastic volatility models. For this we use formulas based on Girsanov transformations as well as a modification of the Bismut–Elworthy formula to compute the derivatives of certain option prices with respect to the parameters of the model by applying Monte Carlo methods. The article presents an extension of the ideas to apply Malliavin calculus methods in the computation of Greek's.     

On peacocks and lyrebirds: Australian options,Brownian bridges,and the average of submartingales

We introduce a class of stochastic processes, which we refer to as lyrebirds. These extend a class of stochastic processes, which have recently been coined peacocks, but are more commonly known as processes that are increasing in the convex order. We show how these processes arise naturally in the context of Asian and Australian options and consider further applications, such as the arithmetic average of a Brownian bridge and the average of submartingales, including the case of Asian and Australian options where the underlying features constant elasticity of variance or is of Merton jump diffusion type.     

Risk minimization in stochastic volatility models: model risk and empirical performance

In this paper the performance of locally risk-minimizing delta hedge strategies for European options in stochastic volatility models is studied from an experimental as well as from an empirical perspective. These hedge strategies are derived for a large class of diffusion-type stochastic volatility models, and they are as easy to implement as usual delta hedges. Our simulation results on model risk show that these risk-minimizing hedges are robust with respect to uncertainty and misconceptions about the underlying data generating process. The empirical study, which includes the US sub-prime crisis period, documents that in equity markets risk-minimizing delta hedges consistently outperform usual delta hedges by approximately halving the standard deviation of the profit-and-loss ratio.