Search results for " pricing"
showing 10 items of 146 documents
Sharing economy and incumbents' pricing strategy: The impact of Airbnb on the hospitality industry
2019
Abstract In this paper, we examine how the emergence of sharing economy platforms influences incumbents' price responses. Grounding on the literature on price reactions to new entrants and on the unique characteristics of the sharing economy, we argue that the effect of the penetration of the sharing economy on incumbents' prices is not straightforward, and actually depends on the type of incumbents as well as certain product/service offer characteristics. Indeed, relying on a large sample of hotel price offerings from the Italian market, we find that the effect of the growing relevance of the sharing economy (exemplified by Airbnb) on incumbents' prices depends on the type of incumbents (l…
Putting time into space: the temporal coherence of spatial applications in the housing market
2016
International audience; Relationships between past events, future expectations and present decisions, typically examined through a temporal prism within applied economics, have been lately moving to the spatial dimension through spatial econometrics. However, violations of the “arrow of time”, and thus causality, have been identified in spatial econometric techniques applied to spatio-temporal data consisting of observations each at a specific location and distinct moment in time. A comprehensive review classifies for the first time several redresses to this issue in a currently fragmented literature. This paper puts back the temporal dimension into spatial Hedonic Pricing models through a …
Quality pricing-to-market
2014
We examine firm's pricing-to-market decisions in vertically differentiated industries featuring a large number of firms that compete monopolistically in the quality space. Firms sell goods of heterogeneous quality to consumers with non-homothetic preferences that differ in their income and thus their marginal willingness to pay for quality increments. We derive closed-form solutions for the pricing game under costly international trade, thus establishing existence and uniqueness. We then examine how the interaction of good quality and market demand for quality affects firms' pricing-to-market decisions. The relative price of high quality goods compared to that of low quality goods is an inc…
Sharing economy and dynamic pricing: Is the impact of Airbnb on the hotel industry time-dependent?
2021
Abstract Prior literature has reported significant price and revenue reductions in the hotel industry due to the emergence of Airbnb. Other studies have documented that hotels' price reactions to the penetration of Airbnb depend on their service level, e.g., low/medium-end versus high end. Relying on a large sample from the Italian market, we contribute by showing that the effect of Airbnb on hotels' price decisions does not only depend on incumbents’ quality level, but also on the difference between booking and check-in time. That is, the effect of the penetration of Airbnb on hotels' dynamic price decisions varies over time depending on the core segment hotels target.
Volatility-Managing International Equity Risk Factors
2018
Recent research (see Moreira and Muir, 2017) suggests that volatility-managed portfolios take less risk when volatility is high produce large alphas, increase Sharpe ratios, and produce large utility gains for mean-variance investors. We extend this literature by investigating the profitability of volatility-managing the Fama and French (2017) local risk factors in international equity markets. Our general findings indicate that volatility-managing adds value for local risk factors in Europe and Asia, whereas in Japan we find no such evidence. Confirming earlier studies, we find that a risk-based story is unlikely to explain our results.
Volatility transmission patterns and terrorist attacks
2009
The objective of this study is to analyze volatility transmission between the US and Eurozone stock markets considering the effects of the September 11, March 11 and July 7 financial crises. In order to do this, we use a multivariate GARCH model and take into account the asymmetric volatility phenomenon, the non-synchronous trading problem and the crises themselves. Moreover, a graphical analysis of the Asymmetric Volatility Impulse-Response Functions (AVIRF) is introduced, which takes into consideration the crisis effect. Results suggest that there is bidirectional and asymmetric volatility transmission and show the different impact that terrorist attacks had on both markets. El objetivo d…
Past price “memory” in the housing market: testing the performance of different spatio-temporal specifications.
2017
ABSTRACTRecent methodological developments provide a way to incorporate the temporal dimension when accounting for spatial effects in hedonic pricing. Weight matrices should decompose the spatial effects into two distinct components: bidirectional contemporaneous spatial connections; and unidirectional spatio-temporal effects from past transactions. Our iterative estimation approach explicitly analyses the role of time in price determination. The results show that both spatio-temporal components should be included in model specification; past transaction information stops contributing to price determination after eight months; and limited temporal friction is exhibited within this period. T…
Futures pricing in electricity markets based on stable CARMA spot models
2012
We present a new model for the electricity spot price dynamics, which is able to capture seasonality, low-frequency dynamics and the extreme spikes in the market. Instead of the usual purely deterministic trend we introduce a non-stationary independent increments process for the low-frequency dynamics, and model the large uctuations by a non-Gaussian stable CARMA process. The model allows for analytic futures prices, and we apply these to model and estimate the whole market consistently. Besides standard parameter estimation, an estimation procedure is suggested, where we t the non-stationary trend using futures data with long time until delivery, and a robust L 1 -lter to nd the states of …
A New Nonparametric Estimate of the Risk-Neutral Density with Applications to Variance Swaps
2021
We develop a new nonparametric approach for estimating the risk-neutral density of asset prices and reformulate its estimation into a double-constrained optimization problem. We evaluate our approach using the S\&P 500 market option prices from 1996 to 2015. A comprehensive cross-validation study shows that our approach outperforms the existing nonparametric quartic B-spline and cubic spline methods, as well as the parametric method based on the Normal Inverse Gaussian distribution. As an application, we use the proposed density estimator to price long-term variance swaps, and the model-implied prices match reasonably well with those of the variance future downloaded from the CBOE websi…
OS ECJ-TF 1/2020 on the General Court Decisions of 24 September 2019 in The Netherlands v. Commission (Starbucks) (Joined Cases C-760/15 and T-636/16…
2020
This article provides a comprehensive exame of the decisions of the EU General Court in the cases The Netherlands v. Commission (Starbucks) (Joined Cases C-760/15 and T-636/16) (hereinafter Starbucks NL) and Luxembourg v. Commission (Fiat Finance and Trade) (Joined Cases T-755/15 and T-759/15) (hereinafter Fiat), decided on 24 September 2019. These are the first in a series of expected decisions concerning the legality of the European Commission's decisions considering certain transfer pricing rulings granted by Member States to multinational enterprises (hereinafter MNEs) to constitute State aid. The GC reached different verdicts in the two cases. Whereas in Starbucks NL it annulled the Co…