1,720,960 research outputs found
Stock and real estate prices in Greece: wealth versus 'credit-price' effect
No full textAn attempt is made to clarify the relationship between price fluctuations of two major assets in Greece, real estate and stocks. Two mechanisms have been proposed to interpret this relationship. The first one is well known as 'wealth effect', which claims that households with unanticipated gains in share prices tend to increase the amount of housing. The second one is the credit price effect, which claims that a rise in real estate prices can stimulate economic activity, future profitability of firms and, as a consequence, stock market prices by raising the value of collateral and reducing the cost of borrowing for both firms and households. To test the above transmission, channel tests of Granger causality are employed. Empirical findings are in favour of the wealth effect hypothesis for Athens real estate prices but not for other urban real estate prices. Since real estate at the Athens Metropolitan area could be considered as an investment vehicle, it is reasonable to argue that higher stock prices increase the share of households' portfolios in the stock market and cause a rebalancing of their portfolios by selling stocks and purchasing other assets like houses.
Market Structure, Efficiency and Rising Consolidation of the Banking Industry in the Euro Area
No full textPricing in the Sharing Economy—A Hybrid Approach Leveraging Econometrics, Machine Learning, and Artificial Intelligence
No full textThis study investigates the determinants of Airbnb prices in Athens and Thessaloniki, Greece, employing a hybrid approach combining econometric analysis, machine learning techniques, and artificial intelligence tools. Our findings highlight the significance of location, property type, host responsiveness, listing quality, and photograph quality in influencing rental prices. Notably, we leverage a publicly available AI tool to assess the esthetic and technical quality of listing photos, demonstrating its positive impact on rental prices. This underscores the increasing importance of visual marketing in the sharing economy and the democratization of AI tools for optimizing pricing strategies. We also conduct machine learning analysis, employing algorithms like Random Forest, k-Nearest Neighbors, Support Vector Machine, Neural Network, Gradient Boosting, and AdaBoost. Both AdaBoost and Gradient Boosting demonstrate strong performance across various metrics, with AdaBoost showing an advantage. The study offers valuable insights for Airbnb hosts, platform developers, and policymakers in understanding and optimizing pricing strategies within the short-term rental market
Electoral management, political risk and exchange rate dynamics: the Greek experience
No full textThe paper tries to clarify whether the Greek drachma exchange rate movements could be better understood by incorporating the dynamics of the political environment. Greece could be considered as an ideal laboratory to examine the impact of the elections on the drachma exchange rate dynamics, since its political environment is formed by the co-existence of three distinct characteristics: first, a partisan structure with two main political parties with well defined ideological differences. Second, an opportunistic structure with frequent pre-electoral relaxation of monetary and fiscal policy, and, third, a high density of elections. Based on the assumption that foreign and domestic investors are sensitive to changes in political regime, the Greek foreign exchange rate is examined relative to the ECU and the US dollar. It is found that the incorporation of political variables in the form of the electoral cycle impact the volatility of the exchange rate. Specifically, with the incorporation of political variables in an EGARCH-M context, it is found that past innovations exert an asymmetric impact on the conditional volatility of the exchange rate relative to ECU and USD. Moreover, the results based on the six parliamentary elections suggest that the conditional variance of the exchange rate is impacted by political developments in Greece.
Market share determination in marketing service industries - A demand side approach
No full textA marketing service industry provides its business clients with its services such as advertising media or inbound telecommunication ( i.e. toll free 800 calls) to increase their sales. By extending Dorfman and Steiner (1954) to the world where firms obtain costly marketing services from outside specialized providers, this paper studies the market shares of providers of a marketing service from the perspective of their clients. It derives that at the optimal point for a representative client, a provider's market share equals the ratio of the profits contributed by its service to the total profits contributed by the services of all providers in the market. Under certain conditions, a provider's market share is just a function of quality-price ratios. This result should facilitate choosing a marketing service from alternative providers and analyzing market shares in marketing-service industries.Market Share, Specialized Providers, Telecommunications,
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Long range dependence in stock market returns
No full textMany authors have investigated the possibility of long-range dependence, or long memory, in asset returns, but very little evidence has been found for long memory in either stock or exchange rate returns. This paper examines the presence of long-range dependence in a sample of 34 stock index returns using the semiparametric methods suggested by Geweke and Porter-Hudak (1983) and Robinson (1995). The results provide significant and robust evidence of fractional dynamics in most major and small stock markets over the sample periods. Depending on the test used, statistically significant long memory is detected in approximately 65% of the series. It appears that most stock returns are long-term dependent, suggesting stock market inefficiency and a high degree of predictability.
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