Search results for "Price"

Comparative efficiency of green and conventional bonds pre- and during COVID-19: An asymmetric multifractal detrended fluctuation analysis

2021

Abstract Motivated by the lack of research on price efficiency dynamics of green bonds and the impact of the COVID-19 on the pricing of fixed-income securities, this study investigates the comparative efficiency of green and conventional bond markets pre- and during the COVID-19 pandemic applying asymmetric multifractal analysis. Specifically, the multifractal scaling behaviour is examined separately during upward and downward trends in bond markets using the asymmetric multifractal detrended fluctuation analysis (A-MF-DFA) approach. The empirical findings confirm the presence of asymmetric multifractality in the green and traditional bond markets. Not surprisingly, inefficiency in both bon…

Counselling toward reducing alcohol use, knowledge about its morbidity and personal consumption among students of medical and dental courses in north…

2021

Background Alcohol use disorder (AUD) is directly linked to high-risk consumption. Healthcare students have a crucial role to play in its prevention and management. The aim of this study is to analyse alcohol consumption, as well as to consider the knowledge and attitudes regarding morbidity, and the stage of change when providing assistance to quit AUD. Material and Methods A cross-sectional study was conducted among Dentistry and Medical students using specific and validated questionnaires in an anonymous and voluntary way. Initially, 925 students were invited to participate, of them 500 were reached. Results Among them 85.9% suffered from AUD of whom 75% were women (p<0.001), and it was …

Essays on financial stability: an analysis based on NUTS2 and NUTS3 data for Italy

The Market Price of Credit Risk and Economic States

2015

This paper proposes a market-wide credit risk factor for the US stock market and investigates its properties that are dependent on economic conditions. The market price of credit risk is found to be statistically significantly negative, supporting earlier studies. However, a sample-split analysis reveals that this negative pay-off is non-existent in a later subsample, indicating that the credit risk puzzle is based on temporary mispricing related to the earlier subsample. Further investigation shows that mispricing in the earlier period was mainly driven by positive pay-offs of low credit risk firms, while high credit risk firms did not generate significant returns in any of the sub-periods.

Next-Day Bitcoin Price Forecast

2019

This study analyzes forecasts of Bitcoin price using the autoregressive integrated moving average (ARIMA) and neural network autoregression (NNAR) models. Employing the static forecast approach, we forecast next-day Bitcoin price both with and without re-estimation of the forecast model for each step. For cross-validation of forecast results, we consider two different training and test samples. In the first training-sample, NNAR performs better than ARIMA, while ARIMA outperforms NNAR in the second training-sample. Additionally, ARIMA with model re-estimation at each step outperforms NNAR in the two test-sample forecast periods. The Diebold Mariano test confirms the superiority of forecast …

When the Blockchain Does Not Block: On Hackings and Uncertainty in the Cryptocurrency Market

2019

A total of 1.1 million bitcoin were stolen in the 2013–2017 period. Noting that the average price for Bitcoin in 2018 was USD 7,572 the corresponding monetary equivalent of losses is USD 8.9 billion which strongly shows the societal impact of this criminal activity. Investigating the response of the uncertainty of Bitcoin when hacking incidents occur, the results of this study point toward a delayed response in volatility. The volatility increases significantly only at day t+5. Incidents of hacking that occur in the Bitcoin market affect uncertainty for another cryptocurrency Ethereum too. Again, the evidence suggests a delayed response. However, Bitcoin and Ethereum do not exhibit asymmetr…

Generic revision of Cypricercinae McKenzie, 1971 (Crustacea, Ostracoda), with the description of three new genera and one new species and a phylogene…

2009

The Cypricercinae are one of the most speciose subfamilies of non-marine ostracods, with more than 170 described species, mostly from the tropics. Although the identity of the subfamily as such is clear, because of the presence of unifying characters such as the Triebel’s loop in the attachment of the caudal ramus, the supra-specific taxonomy of this group has long been confused because of lack of good generic and tribal characters. Here, the generic characters of the Cypricercinae are revised. Eleven genera are retained in this subfamily, including three new genera: Bradleytriebella n. gen., Nealecypris n. gen. and Pseudostrandesia n. gen. Tanycypris siamensis n. sp. is described from Thai…

The contribution of geographical certification programs to farm income and rural economies: The case of Pecorino Siciliano PDO

2021

This study attempts to measure the capacity of the EU geographical certification scheme to positively influence the price of certified products and the incomes of their producers. A comparison of the economic results of two cheese-producing dairy farm enterprises with different business strategies and locations within the Sicilian hinterlands is performed in order to determine the transformation value of each dairy’s sheep milk into pecorino cheese (with and without the Protected Designation of Origin, or PDO, certification) and the related joint products (ricotta). The economic convenience of the total transformation of sheep milk into Pecorino Siciliano PDO and ricotta is also appraised. …

A Branch-Price-and-Cut Algorithm for the Min-Max k -Vehicle Windy Rural Postman Problem

2013

[EN] The min-max k -vehicles windy rural postman problem consists of minimizing the maximal distance traveled by a vehicle to find a set of balanced routes that jointly service all the required edges in a windy graph. This is a very difficult problem, for which a branch-and-cut algorithm has already been proposed, providing good results when the number of vehicles is small. In this article, we present a branch-price-and-cut method capable of obtaining optimal solutions for this problem when the number of vehicles is larger for the same set of required edges. Extensive computational results on instances from the literature are presented.

Weibull Model for Dynamic Pricing in e-Business

2011

As is the case with traditional markets, the sellers on the Internet do not usually know the demand functions of their customers. However, in such a digital environment, a seller can experiment different prices in order to maximize his profits. In this paper, we develop a dynamic pricing model to solve the pricing problem of a Web-store, where seller sets a fixed price and buyer either accepts or doesn’t buy. Frequent price changes occur due to current market conditions. The model is based on the two-parameter Weibull distribution (indexed by scale and shape parameters), which is used as the underlying distribution of a random variable X representing the amount of revenue received in the sp…