Seasonal and Calendar Effects and the Price Efficiency of Cryptocurrencies

2021 ◽  
pp. 102354
Author(s):  
Mahmoud Qadan ◽  
David Y. Aharon ◽  
Ron Eichel
2020 ◽  
Vol 21 (1) ◽  
pp. 81-90
Author(s):  
Marthen Robinson Pellokila

ABTRACT Efficiency is one of the important indicators to assess the performance of a company or farm. Efficiency guarantees the use of certain inputs to achieve maximum output levels (technical efficiency) and also efficiency ensures the use of certain inputs that maximize profits (price efficiency or allocative efficiency). This article discusses the application of the estimation of price efficiency / allocative efficiency of the use of production inputs in bean farming using the linearized Cobb-Douglas Production function. The results of the analysis shows that the application of price efficiency estimation for production inputs using the Cobb-Douglas production function is satisfactory as long as the classical assumptions required by the multiple regression are fulfilled. Of the five production inputs included in the model, only one production input provides a significant value to production, namely the production input for the land area use. Thus, only the production input for land area use is estimated at the value of its price efficiency. Based on the results of the analysis, it is found that the use of production inputs for land area use has not yet reached its price efficiency.


2006 ◽  
Vol 06 (01) ◽  
pp. L7-L15
Author(s):  
ALEXANDROS LEONTITSIS

The paper introduces a method for estimation and reduction of calendar effects from time series, which their fluctuations are governed by a nonlinear dynamical system and additive normal noise. Calendar effects can be considered deviations of the distribution(s) of particular group(s) of observations that have a common characteristic related to the calendar. The concept of this method is the following: since the calendar effects are not related to the dynamics of the time series, the accurate estimation and reduction will result a time series with a smaller amount of noise level (i.e. more accurate dynamics). The main tool of this method is the correlation integral, due to its inherit capability of modeling both the dynamics and the additive normal noise. Experimental results are presented on the Nasdaq Cmp. index.


2004 ◽  
Vol 67 (6) ◽  
pp. 1141-1149 ◽  
Author(s):  
John D Styrsky ◽  
Peter Berthold ◽  
W.Douglas Robinson

2018 ◽  
Vol 17 (1) ◽  
pp. 25-50 ◽  
Author(s):  
David Henriques

Abstract In Electronic Payment Networks (EPNs), the No-Surcharge Rule (NSR) requires that merchants charge at most the same amount for a payment card transaction as for cash. In this paper, I use a three-party model (consumers, local monopolistic merchants, and a proprietary EPN) with endogenous transaction volumes, heterogeneous card use benefits for merchants and network externalities of card-accepting merchants on cardholders to assess the efficiency and welfare effects of the NSR. I show that the NSR: (i) promotes retail price efficiency for cardholders, and (ii) inefficiently reduces card acceptance among merchants. The NSR can enhance social welfare and improve payment efficiency by shifting output from cash payers to cardholders. However, if network externalities are sufficiently strong, the reduction of card payment acceptance affects cardholders negatively and, with the exception of the EPN, all agents will be worse off under the NSR. This paper also suggests that the NSR may be an instrument to decrease cash usage, but the social optimal policy on the NSR may depend on the competitive conditions in each market.


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