Does Bitcoin Follow the Market Conditions Anymore?

2019 ◽  
Vol 9 (2) ◽  
pp. 51
Author(s):  
Harun ERCAN
Keyword(s):  
Time Series ◽  
Risk Management ◽  
Wavelet Analysis ◽  
Digital Technology ◽  
Cross Correlation ◽  
Market Conditions ◽  
Goods And Services ◽  
Market Values ◽  
Blockchain Technology ◽  
The Cost

Recent research on the economics of digitization investigates the dramatic changes in markets by digital technology. Digital technology has caused significant differences in in the cost of storage, computation, and transmission of data. As one of the latest sign of digitization in our life, the use of cryptocurrencies has been drawing attention of all market players. Blockchain technology is recently reallocating resources, restructuring of routines, changing market relationships and patterns of the flow of goods and services. This study investigates the coherence of Bitcoin with the movements of the main indicators of different markets. Aim of this research is to clarify whether this cryptocurrency follows the market conditions or not. Because the movements of the market values of Bitcoin are aimed to be investigated to show that they can be used separately as a tool of risk management. For this reason, wavelet analysis has been employed to define cross-correlation between time series of the daily USD value of Bitcoin and some market indicators. Some literature asserts that Bitcoin has recently started to follow market conditions. If Bitcoin process follows the market conditions more than before, that if This analysis will explain if there is a change in hedging possibility of Bitcoin recently.

PERSONAL BRAND OF THE LEADER AND ITS IMPACT ON THE COMPANY’S ACTIVITIES

2020 ◽  
Vol 10 (6) ◽  
pp. 1016-1024
Author(s):  
V.D. Zaytsev ◽  
Keyword(s):  
Decisive Role ◽  
Modern World ◽  
Market Conditions ◽  
Goods And Services ◽  
Personal Brand ◽  
Bill Gates ◽  
Steve Jobs ◽  
The Cost ◽  
A Company ◽  
Excellent Tool

In the current market conditions, there is intense competition among companies operating in the same industry. One of the newest and most effective ways to promote companies in the market is to develop a personal brand of the leader. The personal brand of the head of the company leaves an imprint on the company. The personal brand of the head is correlated with the name of the company; there are many examples of this: Steve Jobs, Bill Gates, Elon Musk, Oleg Tinkov, Andrey Kurpatov and many others. A well-created personal brand is considered an excellent tool in promoting a product, attracting a target audience and resources for the company, and also for increasing the company’s competitiveness. A personal brand allows one to demonstrate not only individual advantages of the person as a company leader, but also the strengths of the company. With the help of a personal brand, the company can be distinguished from competitors; besides, the brand can help to increase the cost of goods and services, as well as the company as a whole. Personal brand is one of the most influential aspects on the «life» of a company in the modern world; sometimes it allows solving company problems and plays a decisive role in the development of a company. Currently, the topic of “personal brand” remains largely unexplored. Many researchers have attempted to create a methodology for forming a personal brand, for example, there are many different strategies for forming it. In connection with the above, it is relevant to systematize information on this topic. The article analyzes the definitions “brand” and “personal brand”, studies the influence of the personal brand of the head on the company’s activities. The concepts of building and approaches to the development of a personal brand, as well as strategies for its promotion are considered.

scholarly journals The interrelationship between meteorological parameters and leptospirosis incidence in Hambantota district, Sri Lanka 2008–2017 and practical implications

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245366
Author(s):  
N. D. B. Ehelepola ◽  
Kusalika Ariyaratne ◽  
D. S. Dissanayake
Keyword(s):  
Time Series ◽  
Sri Lanka ◽  
Wavelet Analysis ◽  
Soil Temperature ◽  
Cross Correlation ◽  
Evaporation Rate ◽  
Meteorological Parameters ◽  
Long Term Study ◽  
Cross Correlation Analysis ◽  
Weather Parameters

Background Leptospirosis is a bacterial zoonosis. Leptospirosis incidence (LI) in Sri Lanka is high. Infected animals pass leptospires to the environment with their urine. Leprospires' survival in the environment to infect a new host depends on meteorological factors. El Nino Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) modulate the weather in Sri Lanka. Objectives The determination of interrelationship between the LI in the Hambantota District, and local meteorological parameters, ENSO and IOD. Methods We acquired notified leptospirosis cases in the Hambantota District and population data. We calculated weekly leptospirosis incidences for 2008 to 2017.Weather data from two weather stations was obtained, averaged and converted into weekly data. We plotted time series graphs and observed the correlation between seven aggregated weather parameters and LI. We estimated cross-correlations between those weather parameters and LI. As our principal analysis we determined correlation between LI and seven local weather parameters, Nino 3.4, Nino4 and Dipole Mode Index (DMI) indices using wavelet analysis. Results Our wavelet analysis results showed troughs of minimum, maximum, mean temperatures, soil temperature, the evaporation rate, the duration of sunshine were followed by peaks in LI and peaks of rainfall followed by peaks of LI, all after lag periods. Our time series graphs and cross-correlation determination results are generally in agreement with these results. However there was no significant correlation between rainfall and LI in the cross-correlation analysis. There were peaks of LI following both peaks and troughs of DMI. There was no clear correlation between both Nino indices and LI. Discussion This may be the first long-term study demonstrating soil temperature, evaporation rate and IOD are correlating with LI. The correlation pattern of LI with temperature parameters differs from similar past studies and we explain the reasons. We propose ways to control high LI we observed after periods of weather favorable for transmission of leptospirosis.

scholarly journals Interruptive Time Series Analysis of GST Upon Non-Performing Non-Housing Property Loans: Case Study from Malaysia

2021 ◽  
Vol 16 (1) ◽  
pp. 35-58
Author(s):  
Kuen-Wei Tham ◽  
◽  
Rosli Said ◽  
Yasmin Mohd Adnan ◽  
◽  
...  
Keyword(s):  
Time Series ◽  
Value Added ◽  
Negative Effects ◽  
Post Intervention ◽  
Time Series Regression ◽  
Commercial Property ◽  
Goods And Services ◽  
Quasi Experimental ◽  
The Cost ◽  
First Time

Value Added Taxes increases the cost of living and affect the ability of loan repayments indirectly. The introduction of the Goods and Services Tax (GST) in Malaysia in 2014 had garnered significant attention on its potential negative effects on the property industry. Coincidentally, there is a rise of non-performing non-housing property loans (NPNHLs) consisting of industrial and commercial property loans as GST was introduced and was in effect. The NPNHLs which consists of mainly industrial and commercial property loans faced a steep increase for the first time in 2014, after a long and consistent decline since 2007. From the inception stage of the GST to its effective implementation date, the Malaysian NPNHLs responded with a unique pattern that offers an opportunity for research. Hence, this study aimed to investigate and measure the intervention spill-over effects of GST upon the Malaysian NPNHLs. Utilizing a quasi-experimental design of interruptive time series regression analysis, it was found that there is a close and significant relationship between the implementation of GST and the rise of NPNHLs in Malaysia. The pre and post intervention of the GST regime was found to be in sync with the rise of non-performing non-housing property loans in Malaysia. Keywords: value added tax, goods and services tax, interruptive time series regression, Malaysia

TRANSFER FİYATLAMA UYGULAMASININ İŞLETME PERFORMANSINA ETKİSİ VE VERGİSEL AÇIDAN DEĞERLENDİRİLMESİ

2014 ◽  
Vol 1 (2) ◽  
pp. 187
Author(s):  
Serdar KUZU
Keyword(s):  
Business Performance ◽  
Transfer Pricing ◽  
Tax Law ◽  
Economic Activities ◽  
Tax System ◽  
Goods And Services ◽  
Tax Legislation ◽  
International Transactions ◽  
The Cost ◽  
The Impact

The size of international trade continues to extend rapidly from day to day as a result of the globalization process. This situation causes an increase in the economic activities of businesses in the trading area. One of the main objectives of the cost system applied in businesses is to be able to monitor the competitors and the changes that can be occured as a result of the developments in the sector. Thus, making cost accounting that is proper according to IAS / IFRS and tax legislation has become one of the strategic targets of the companies in most countries. In this respect, businesses should form their cost and pricing systems according to new regulations. Transfer pricing practice is usefull in setting the most proper price for goods that are subject to the transaction, in evaluating the performance of the responsibility centers of business, and in determining if the inter-departmental pricing system is consistent with targets of the business. The taxing powers of different countries and also the taxing powers of different institutions in a country did not overlap. Because of this reason, bringing new regulations to the tax system has become essential. The transfer pricing practice that has been incorporated into the Turkish Tax System is one of the these regulations. The transfer pricing practice which includes national and international transactions has been included in the Corporate Tax Law and Income Tax Law. The aim of this study is to analyse the impact of goods and services transfer that will occur between departments of businesses on the responsibility center and business performance, and also the impact of transfer pricing practice on the business performance on the basis of tax-related matters. As a result of the study, it can be said that transfer pricing practice has an impact on business performance in terms of both price and tax-related matters.

Forecasting based on spectral time series analysis: prediction of the Aurubis stock price

2020 ◽  
Vol 17 (4) ◽  
pp. 215-227
Author(s):  
Julia Babirath ◽  
Karel Malec ◽  
Rainer Schmitl ◽  
Kamil Maitah ◽  
Mansoor Maitah
Keyword(s):  
Time Series ◽  
Risk Management ◽  
Time Series Analysis ◽  
Wiener Process ◽  
Stock Price ◽  
Percentage Error ◽  
Portfolio Performance ◽  
Stock Price Prediction ◽  
Series Analysis ◽  
Augmented Dickey Fuller

The attempt to predict stock price movements has occupied investors ever since. Reliable forecasts are a basis for investment management, and improved forecasting results lead to enhanced portfolio performance and sound risk management. While forecasting using the Wiener process has received great attention in the literature, spectral time series analysis has been disregarded in this respect. The paper’s main objective is to evaluate whether spectral time series analysis can produce reliable forecasts of the Aurubis stock price. Aurubis poses a suitable candidate for an investor’s portfolio due to its sound economic and financial situation and the steady dividend policy. Additionally, reliable management contributes to making Aurubis an investment opportunity. To judge if the achieved forecast results can be considered satisfactory, they are compared against the simulation results of a Wiener process. After de-trending the time series using an Augmented Dickey-Fuller test, the residuals were compartmentalized into sine and cosine functions. The frequencies, amplitude, and phase were obtained using the Fast Fourier transform. The mean absolute percentage error measured the accuracy of the stock price prediction, and the results showed that the spectral analysis was able to deliver superior results when comparing the simulation using a Wiener process. Hence, spectral time series can enhance stock price forecasts and consequently improve risk management.

scholarly journals The correlation between three teleconnections and leptospirosis incidence in the Kandy District, Sri Lanka, 2004–2019

2021 ◽  
Vol 49 (1) ◽  
Author(s):  
N. D. B. Ehelepola ◽  
Kusalika Ariyaratne ◽  
A. M. S. M. C. M. Aththanayake ◽  
Kamalanath Samarakoon ◽  
H. M. Arjuna Thilakarathna
Keyword(s):  
Time Series ◽  
Sri Lanka ◽  
Wavelet Analysis ◽  
Southern Oscillation ◽  
Population Data ◽  
Enso Modoki ◽  
Cross Correlation Analysis ◽  
Teleconnection Indices ◽  
Weather Parameters ◽  
Time Lagged

Abstract Background Leptospirosis is a bacterial zoonosis. Leptospirosis incidence (LI) in Sri Lanka is high. Infected animals excrete leptospires into the environment via their urine. Survival of leptospires in the environment until they enter into a person and several other factors that influence leptospirosis transmission are dependent upon local weather. Past studies show that rainfall and other weather parameters are correlated with the LI in the Kandy district, Sri Lanka. El Niño Southern Oscillation (ENSO), ENSO Modoki, and the Indian Ocean Dipole (IOD) are teleconnections known to be modulating rainfall in Sri Lanka. There is a severe dearth of published studies on the correlations between indices of these teleconnections and LI. Methods We acquired the counts of leptospirosis cases notified and midyear estimated population data of the Kandy district from 2004 to 2019, respectively, from weekly epidemiology reports of the Ministry of Health and Department of Census and Statistics of Sri Lanka. We estimated weekly and monthly LI of Kandy. We obtained weekly and monthly teleconnection indices data for the same period from the National Oceanic and Atmospheric Administration (NOAA) of the USA and Japan Agency for Marine-Earth Science and Technology (JAMSTEC). We performed wavelet time series analysis to determine correlations with lag periods between teleconnection indices and LI time series. Then, we did time-lagged detrended cross-correlation analysis (DCCA) to verify wavelet analysis results and to find the magnitudes of the correlations detected. Results Wavelet analysis displayed indices of ENSO, IOD, and ENSO Modoki were correlated with the LI of Kandy with 1.9–11.5-month lags. Indices of ENSO showed two correlation patterns with Kandy LI. Time-lagged DCCA results show all indices of the three teleconnections studied were significantly correlated with the LI of Kandy with 2–5-month lag periods. Conclusions Results of the two analysis methods generally agree indicating that ENSO and IOD modulate LI in Kandy by modulating local rainfall and probably other weather parameters. We recommend further studies about the ENSO Modoki and LI correlation in Sri Lanka. Monitoring for extreme teleconnection events and enhancing preventive measures during lag periods can blunt LI peaks that may follow.

scholarly journals The Upworthy Research Archive, a time series of 32,487 experiments in U.S. media

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
J. Nathan Matias ◽  
Kevin Munger ◽  
Marianne Aubin Le Quere ◽  
Charles Ebersole
Keyword(s):  
Data Mining ◽  
Time Series ◽  
Open Access ◽  
Randomized Trial ◽  
Digital Technology ◽  
Behavioral Experiments ◽  
Media Politics ◽  
B Test ◽  
Scientific Questions ◽  
Advance Knowledge

AbstractThe pursuit of audience attention online has led organizations to conduct thousands of behavioral experiments each year in media, politics, activism, and digital technology. One pioneer of A/B tests was Upworthy.com, a U.S. media publisher that conducted a randomized trial for every article they published. Each experiment tested variations in a headline and image “package,” recording how many randomly-assigned viewers selected each variation. While none of these tests were designed to answer scientific questions, scientists can advance knowledge by meta-analyzing and data-mining the tens of thousands of experiments Upworthy conducted. This archive records the stimuli and outcome for every A/B test fielded by Upworthy between January 24, 2013 and April 30, 2015. In total, the archive includes 32,487 experiments, 150,817 experiment arms, and 538,272,878 participant assignments. The open access dataset is organized to support exploratory and confirmatory research, as well as meta-scientific research on ways that scientists make use of the archive.

Value-based dentistry: Putting the patient first

2016 ◽  
Vol 7 (3) ◽  
pp. 126-129 ◽  
Author(s):  
Sreenivas Koka ◽  
Galya Raz
Keyword(s):  
Risk Management ◽  
Quality Improvement ◽  
Quality Of Care ◽  
Dental Care ◽  
Time Cost ◽  
Safety Risk ◽  
The Cost ◽  
Over Time

What does ‘value’ mean? In the context of dental care, it can be defined as the quality of care received by a patient divided by the cost to the patient of receiving that care. In other words: V =Q/C, where Q equals the quality improvement over time, which most patients view in the context of the outcome, the service provided and safety/risk management, and C equals the financial, biological and time cost to the patient. Here, the need for, and implications of, value-based density for clinicians and patients alike are explored.

A new index to measure cost of living for expatriates in cities

2018 ◽  
Vol 28 (3) ◽  
pp. 295-317
Author(s):  
Khee Giap Tan ◽  
Nguyen Trieu Duong Luu ◽  
Le Phuong Anh Nguyen
Keyword(s):  
New York ◽  
Hong Kong ◽  
Quality Data ◽  
Cost Of Living ◽  
Content Type ◽  
Goods And Services ◽  
Commercial Research ◽  
The Cost ◽  
Cost Of Living Index ◽  
The City

Purpose Cost of living is an important consideration for the decision-making of expatriates and investment decisions of businesses. As competition between cities for talent and capital becomes global instead of national, the need for timely and internationally comparable information on global cities’ cost of living increases. While commercial research houses frequently publish cost of living surveys, these reports can be lacking in terms of scientific rigour. In this context, this paper aims to contribute to the literature by formulating a comprehensive and rigorous methodology to compare the cost of living for expatriates in 103 world’s major cities. Design/methodology/approach A cost of living index for expatriates composed of the ten consumption categories is constructed. The results from the study covers a study period from 2005 to 2014 in 103 cities. More than 280 individual prices of 165 goods and services have been compiled for each city in the calculation of the cost of living index for expatriates. New York has been chosen as the base city for the study, with other cities being benchmarked against it. A larger cost of living index for expatriates implies that the city is more expensive for expatriates to live in and vice versa. Findings While the authors generate the cost of living rankings for expatriates for 103 cities worldwide, in this paper, the authors focus on five key cities, namely, London, Hong Kong, Singapore, Tokyo and Zurich, as they are global financial centres. In 2013, the latest year for which data are available, Zurich was the most expensive for expatriates among the five cities, followed by Singapore, Tokyo, London and Hong Kong. These results pertain to the cost of living for expatriates, and cities compare very differently in terms of cost of living for ordinary residents, as ordinary residents follow different consumption patterns from expatriates. Originality/value Cost of living in the destination city is a major consideration for professionals who look to relocate, and organisations factor such calculations in their decisions to post employees overseas and design commensurate compensation packages. This paper develops a comprehensive and rigorous methodology for measuring and comparing cost of living for expatriates around the world. The value-addition lies in the fact that the authors are able to differentiate between expatriates and ordinary residents, which has not been done in the existing literature. They use higher quality data and generate an index that is not sensitive to the choice of base city.

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