NYSE execution quality subsequent to migration to hybrid

In October 2006, the NYSE began rolling-out phase three of a four-phase plan initiate its new Hybrid trading mechanism. The results show that this new trading platform introduced a much larger proportion of electronic transactions relative to floor auction transactions. This migration to electronic transactions is further evidenced by a mirror shift in price discovery from floor trades to trades marked for automatic electronic execution. In addition, the move to Hybrid trading introduced a significant decrease in inventory control costs, as well as a noticeable increase in trade persistence. Finally, the new trading platform has increased the speed with which orders are met, and has also decreased the proportion of executed shares which receive price improvement.

Barrier option pricing: a hybrid method approach

This paper adapts the hybrid method, a combination of the Laplace transformation and the finite-difference approach, to the pricing of barrier-style options. The hybrid method eliminates the time steps and provides a highly accurate and precise numerical solution that can be rapidly obtained. This method is superior to lattice methods when trying to solve barrier-style options. Previous studies have tried to solve barrier-style options; however, there have continually been several disadvantages. Very small time steps and stock node spaces are needed to avoid undesirable numerically induced oscillations in the solution of barrier option. In addition, all the intermediate option prices must be computed at each time step, even though one may be only interested in the terminal price of barrier-style complex options. The hybrid method may also solve more complex problems concerning barrier-style options with various boundary constraints such as options with a time-varying rebate. In order to demonstrate the accuracy and efficiency of the proposed scheme, we compare our algorithm with several well-known pricing formulas of barrier-type options. The numerical results show that the hybrid method is robust, and provides a highly accurate solution and fast convergence, regardless of whether or not the initial asset prices are close to the barrier.     

The affine Heston model with correlated Gaussian interest rates for pricing hybrid derivatives

In this article we define a multi-factor equity–interest rate hybrid model with non-zero correlation between the stock and interest rate. The equity part is modeled by the Heston model and we use a Gaussian multi-factor short-rate process. By construction, the model fits in the framework of affine diffusion processes, allowing fast calibration to plain vanilla options. We also provide an efficient Monte Carlo simulation scheme.     

Funding the story of hybrid ventures: Crowdfunder lending preferences and linguistic hybridity

Prosocial crowdfunding platforms are venues for individual lenders to allocate resources to ventures that specifically pursue economic and social value. In a setting where hybridity is expected, do crowdfunders respond positively to category-spanning ventures, or do they prefer to fund ventures that are more clearly situated within a single category? Drawing on theory rooted in category membership and spanning, our hypotheses test whether prosocial crowdfunding lenders will more quickly allocate resources to hybrid microenterprises that communicate their hybridity, or to those that communicate a single one of their dual aims. Our study demonstrates that even in such a setting, crowdfunders lend more quickly to microenterprises that position themselves within a single linguistic category in which the social is emphasized over the economic. This suggests that how hybrid organizations position themselves in their linguistic narratives has a significant impact on resource allocation by external prosocial audiences.     

Smart logistics transformation collaboration between manufacturers and logistics service providers: A supply chain contracting perspective

Intelligent transformation of manufacturers requires smart logistics transformation collaboration, which improves competitiveness. In this study, we construct a Stackelberg game model based on the mutual influence and restriction in the relationship between a manufacturer and a logistics service provider (LSP) undergoing smart logistics transformation. We investigate whether cost-sharing (CS) or revenue-sharing (RS) contracts can coordinate the supply chain and suggest a hybrid CS–RS contract to improve performance. We find that, compared with decentralized options, CS and RS contracts achieve a higher level of smart logistics transformation. While the coordination and effectiveness of CS contracts are superior to those of RS contracts, neither can fully coordinate the supply chain. The proposed hybrid CS–RS contract allows the manufacturer to share the LSP’s costs before the transformation and its partial revenue after transformation, so that the LSP can reduce its service charge, thereby achieving full supply chain coordination.     

Is your organization conducive to the continuous creation of social value? Toward a social corporate entrepreneurship scale

Over the last decade, explicit emphasis on the creation of social value has grown in profit-seeking firms as well as nonprofits and has even led to the emergence of a new legal organizational classification known as for-benefit corporations. Like financial value, social value is dynamic and therefore subject to perpetual changes in the firm’s external environment, changes that yield opportunities and threats for the firm. Although social entrepreneurship researchers have begun to study the identification and exploitation of opportunities to create social value, this research has taken place primarily within the context of startup organizations. In contrast, corporate entrepreneurship research has emphasized value creation within existing firms, but focused primarily on the identification and exploitation of opportunities to create financial value. Combining the two, we examine the creation of social value within the firm by proposing the social corporate entrepreneurship scale (SCES), a new instrument that measures organizational antecedents for social corporate entrepreneurship and offers managers an opportunity to analyze whether the perceived environment is supportive of corporate entrepreneurial behaviors intended to create social as well as financial value. The article concludes with a discussion of the instrument’s potential contribution to managerial practice.     

The role of multiple values in developing management accounting practices in hybrid organisations

The aim of this study is to investigate how multiple values in non-profit hybrid organisations influence the adoption of management accounting practices. The empirical analysis centres on hybrid organisations established as co-production and co-management initiatives in social care. Pragmatic constructivism, centred on the role of values, informs the empirical analysis. This research shows that management accounting practices can develop without conflicts when only some actors are interested in management and their values predominate, despite the coexistence of multiple and conflicting values. However, in this situation, where conflicts are eliminated, the validity of accounting is compromised, as it does not represent all values. The evidence of this lack of validity is clear when considering the poor development of management accounting practices and the inability to develop some relevant measures, such as outcome measures. When only some values predominate, the opportunity provided by the multiplicity of values to the development of management accounting practices is lost, and possible inefficiencies may emerge. The use of pragmatic constructivism shows that this lack of validity, determined by the non-integration of values, would be reduced by increasing the discussion among conflicting actors’ values. Findings suggest that the presence of conflicting values, that at first glance may be interpreted as an impediment, would, on the contrary, be useful to support accounting validity, when stimulating discussion. In this respect, conflicting values should work alongside communication, to include dimensions of reality.     

The curse of bureaucratisation or the blessings of professionalisation? Nurses’ engaged adoption of quality management in hybrid managerial positions

The paper concerns how new quality management in the Danish hospital sector has created new career and professionalisation opportunities for nurses. While the well-known dualism between the logics of professionalism and managerialism is challenged in the literature, not much is known about how engagement in the tighter steering of practice may converge with professional identities and meaningfulness in work. The paper applies a Bourdieusian and ethnographic approach to the examination of nurses’ enthusiastic involvement in quality management as they take up hybrid managerial positions in an acute care department. The findings demonstrate the importance of the material and symbolic value of scientific-bureaucratic knowledge in legitimizing quality management, achieving meaningfulness in practice and bolstering the professional role of nurses.     

Hybrid approaches based on SARIMA and artificial neural networks for inspection time series forecasting

In this paper, the number of goods subject to inspection at European Border Inspections Post are predicted using a hybrid two-step procedure. A hybridization methodology based on integrating the data obtained from autoregressive integrated moving averages (SARIMA) model in the artificial neural network model (ANN) to predict the number of inspections is proposed. Several hybrid approaches are compared and the results indicate that the hybrid models outperform either of the models used separately. This methodology may become a powerful decision-making tool at other inspection facilities of international seaports or airports.     

Do global output gaps help forecast domestic inflation? Evidence from Phillips curves for Poland

This study confronts domestic and global views on inflation through the use of the Hybrid New Keynesian Phillips Curve (HNKPC) models estimated for headline and core inflation in Poland. We analyse the roles of the global vs. domestic output gaps in affecting price changes. We ensure that our conclusions are robust by taking into consideration various proxies for inflation expectations, imported inflation, the domestic output gap and the global output gap.Our results suggest that the global demand conditions are statistically insignificant in the majority of the estimated global versions of HNKPC, independently of the measure of them that is considered. In terms of empirical fit, and especially of the out-of-sample forecasting accuracy, the specifications of the Phillips curve with the domestic and global output gaps among the explanatory variables are not superior to traditional Phillips curves. Interestingly, the relative importance of the global output gap is much smaller in models that are estimated in terms of core inflation, excluding foodstuffs and energy, than in CPI inflation models. This suggests that global demand conditions affect the inflation in Poland indirectly, mainly through the prices of food and energy raw materials.The main conclusion from our study is that external factors that are already considered in the traditional hybrid versions of the new Keynesian Phillips curve are sufficient to account for global influences on prices in the domestic economy. The concept of the global output gap improves neither the explanatory nor the predictive power of HNKPC models.