MERGE OF THE TECHNİCAL ANALYSİS TYPES GİVES THE BEST RESULTS İN CRYPTOCURRENCY MARKET

2021 ◽  
Vol 6 (14) ◽  
pp. 89-97
Author(s):  
MUSTAFA ÖZYEŞİL ◽  
MOHAMMAD AL-TARIFI
Keyword(s):  
Supply And Demand ◽  
Investment Strategy ◽  
Proof Of Concept ◽  
Market Capitalization ◽  
Long Run ◽  
Peer Network ◽  
Tangible Asset ◽  
The Relationship ◽  
Peer To Peer Network

Cryptocurrencies are a modern kind of financial instrument (Hudson & Urquhart, 2019), the first cryptocurrency is Bitcoin , proposed by who called Satoushi Nakamato (2008), as The open source was created on the proof-of-concept principle that transactions can be securely treated on a decentralized peer to peer network without the need for a central clearinghouse, which appeared 2009 ( Heid, 2013). The success of the bitcoin blazes a trail to what called ‘Altcoin” this expression means all the cryptocurrencies that set in motion after the victory of the bitcoin, these coins sell themselves as the best alternatives for the bitcoin (FRANKENFIELD, 2020) . There are many types for the altcoin. The third type of the cryptocurrency is called Tokens Unlike Bitcoin and Altcoins, tokens are not able to activate independently and are dependent on the grid of another cryptocurrency. That means they do not have their own core DLT or blockchain, but instead, are built on top of an existing cryptocurrency’s blockchain (Types of cryptocurrencies: explaining the major types of cryptos, 2019). The worth of bitcoin doesn’t depend on any tangible asset or economies of the countries while it is based upon the security of an algorithm which traces all transactions (Hudson & Urquhart, 2019). The studies determine the number of the bitcoin price development in the long -run (Ciaian, Rajcaniova, & Kancs, 2018): • Market forces of the Bitcoin supply and demand • The bitcoin’s attractiveness for the investors • The influence of global macro-financial developments If you're forming an investment strategy designed to help you trail long-term financial intentions, understanding the relationship between company size, return potential, and risk is vital. (Market cap—or market capitalization—refers to the total value of all a company's shares of stock, 2017) .Hence , Manifested importance a cryptocurrency’s market capitalization as the total values of all coins currently in circulation. the cryptocurrency’s market cap contains what’s called Bitcoin Dominance that is the ratio between the market cap of bitcoin to other coins of the cryptocurrency markets (jacobcanfield, 2019) . Cryptocurrency trade is attractive type of investment. this market treated the same of the foreign exchange and stock market ( Radityo, Munajat, & Budi, 2017). The investors using the same basic in investment (buy low, sell high) but they need to calculating the risks

Baroreceptors, baroreceptor unloading, and the long-term control of blood pressure

2005 ◽  
Vol 288 (4) ◽  
pp. R819-R827 ◽  
Author(s):  
Terry N. Thrasher
Keyword(s):  
Animal Studies ◽  
Sympathetic Nerve Activity ◽  
Human Subjects ◽  
Pressure Change ◽  
Proof Of Concept ◽  
Experimental Proof ◽  
Pulsatile Pressure ◽  
Compliance Map ◽  
The Relationship

Whether arterial baroreceptors play a role in setting the long-term level of mean arterial pressure (MAP) has been debated for more than 75 years. Because baroreceptor input is reciprocally related to efferent sympathetic nerve activity (SNA), it is obvious that baroreceptor unloading would cause an increase in MAP. Experimental proof of concept is evident acutely after baroreceptor denervation. Chronically, however, baroreceptor denervation is associated with highly variable changes in MAP but not sustained hypertension. The ability of baroreceptors to buffer imposed increases in MAP appears limited by a process termed “resetting,” in which the threshold to fire shifts in the direction of the pressure change and if the pressure elevation is maintained, it leads to a rightward shift in the relationship between baroreceptor firing and MAP. The most common hypothesis linking baroreceptors to changes in MAP proposes that reduced vascular distensibility in baroreceptive areas would cause reduced firing at the same pulsatile pressure and, thus, reflexively increase SNA. This review focuses on effects of baroreceptor denervation in the regulation of MAP in human subjects compared with animal studies; the relationship between vascular compliance, MAP, and baroreceptor resetting; and, finally, the effect of chronic baroreceptor unloading on the regulation of MAP.

scholarly journals Price Appreciation and Roughness Duality in Bitcoin: A Multifractal Analysis

Mathematics ◽  
2021 ◽  
Vol 9 (17) ◽  
pp. 2088
Author(s):  
Cristiana Vaz ◽  
Rui Pascoal ◽  
Helder Sebastião
Keyword(s):  
Fluctuation Analysis ◽  
Informational Efficiency ◽  
Comprehensive Overview ◽  
Multifractal Detrended Fluctuation Analysis ◽  
Long Range Correlations ◽  
The Public ◽  
Long Run ◽  
Short Run ◽  
The Relationship

Since its launch in 2009, bitcoin has thrived, attracting the attention of investors, regulators, academia, and the public in general. Its price dynamics, characterized by extreme volatility, severe jumps, and impressive long-term appreciation, suggest that bitcoin is a new digital asset. This study presents a comprehensive overview of the fractality of bitcoin in a high-frequency framework, namely by applying Multifractal Detrended Fluctuation Analysis (MF-DFA) and a Multifractal Regime Detecting Method (MRDM) to Bitstamp 1 min bitcoin returns from January 2013 to July 2020. The results suggest that bitcoin is multifractal, with smaller and larger fluctuations being persistent and anti-persistent, respectively. Multifractality comes from significant long-range correlations, which cast some doubts on the informational efficiency at this frequency, but mainly comes from fat-tails, which highlights the significant risks undertaken by investors in this market. Our most important result is that the degree and richness of multifractality is time-varying and increased after 2017, when volumes and prices experienced an explosive behaviour. This complexity puts into perspective the duality of bitcoin: while it is characterized by long-run attractiveness and increasing valuation, it also has a high short-run instability. Hence, this study provides some empirical evidence supporting the relationship between these two observable features.

scholarly journals The Grain Market between the Reigns of Alexey Mikhailovich and Catherine the Great: Was there a ‘Price Revolution’?

2021 ◽  
Vol 9 (3) ◽  
Author(s):  
Arthur Mustafin
Keyword(s):  
Eighteenth Century ◽  
Supply And Demand ◽  
Wide Range ◽  
Grain Market ◽  
The Impact ◽  
First Time ◽  
The Relationship ◽  
Regions Of Russia ◽  
Grain Prices

The author of this article attempts to reveal and systematise archival data on grain prices in Russia between the 1650s and 1700s and analyse their dynamics by comparing them with data for the eighteenth century. The study is based on a wide range of archival sources from the funds of the RSAAA (RGADA), CSA of Moscow (TsGA of Moscow), DM NLR (OR RNB), and SFI CANNR (GKU TsANO). The data from these sources make it possible to construct time series describing rye and oat price dynamics in the northern and central non-black earth regions of Russia. The author substantiates the homogeneity and reliability of the data received and determines the real prices. The resulting numbers make the author doubt the “price revolution” in eighteenth-century Russia. Throughout the eighteenth century, the average real prices remained below the level of the 1660s and 1670s. Only in the 1790s did prices briefly exceed this level. Overall, the Russian grain market was characterised by long-term price fluctuations. The author aims to explain this dynamic by analysing supply and demand in the grain market. More particularly, for the first time in the historiography, the author examines the connection between Russian grain prices and yield in the second half of the seventeenth and eighteenth centuries. It is established that in most cases, the relationship between these indicators was direct: as grain yield increased, prices did too. The article explains this seeming paradox. The data published by the author help not only to estimate the impact of various factors on grain prices during the period in question, but also solve practical tasks regarding various price indicators in grain equivalents.

scholarly journals SIX YEARS (1999-2015) OF ESCALATING HOUSE PRICE: CAN FDI BE BLAMED?

2017 ◽  
Vol 15 (3) ◽  
Author(s):  
Ema Izati Zull ◽  
Tajul Ariffin Masron
Keyword(s):  
House Price ◽  
Well Being ◽  
High Price ◽  
Fdi Inflows ◽  
Long Run ◽  
Long Term Impact ◽  
Liberalization Policy ◽  
The Relationship ◽  
Positive Effect

In Malaysia, house price has increased drastically. Problem arises in areas that received relatively lower number of FDI. The house price in these areas accelerated at growth which are somewhat equivalent to areas which benefit from FDI spillover. As the relationship between FDI and locals’ well-being is becoming crucial due to the escalating high price, this paper intends to examine the long-term impact of FDI on house price in Malaysia. Our long-run estimation results showed that FDI inflows have affected house price in Malaysia negatively between the period of 1999 and 2015. The effect however reversed when liberalization policy is included. With the presence of liberalization policy, FDI inflows have actually caused house price in KL and Penang (highly dynamic states) to increase in the long-run. The positive effect of FDI inflows on house price are also found in relatively slow-progressive states like Pahang and Kedah confirming the nationwide effect of liberalization policy regardless of economy level of a state. Other than FDI inflows, this study also examined house supply, gross domestic per capita and interest rate as independent variables.

Exchange rate volatility and exports from India: a commodity-level panel data analysis

2019 ◽  
Vol 12 (1) ◽  
pp. 23-44
Author(s):  
Chandan Sharma
Keyword(s):  
Exchange Rate ◽  
Panel Data ◽  
Exchange Rate Volatility ◽  
Nominal Exchange Rate ◽  
Exchange Rate Risk ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Relationship

PurposeThis study aims to examine the relationship between exchange rate risk and export at commodity level for the Indian case.Design/methodology/approachThe monthly panel data used for analysis are at a disaggregated level, which cover around 100 products, encompassing all merchandize sectors for the period spanning from 2012:12 to 2017:11. To measure the exchange rate volatility, the authors use real as well as nominal exchange rate concepts and predict the volatility of exchange rate using the autoregressive conditional heteroscedastic-based model. They use pooled mean group, mean group and common correlated effects mean group estimator that is suitable for the objectives and data frequency.FindingsThe empirical analysis indicates both short- and long-term negative effects of exchange rate variations on exporting. Specifically, in the long run, real exchange rate as well as nominal exchange rate volatility has significant effects on export performance, yet, the effects of uncertainty of nominal exchange rate is much severe and intense. In the short run, it is the nominal exchange rate uncertainty that hurts exports from India. Nevertheless, the short-run effect is much lesser than the long-run, supporting the argument that the short-term exchange rate risk can be hedged, at least partially, through financial instruments; however, uncertainty of the long-term horizon cannot be hedged easily and cost-effectively.Practical implicationsReducing uncertainty and attaining stability in exchange rate and price level should be an important policy objective in developing countries such as India to achieve higher export growth, both in the short and long run.Originality/valueUnlike previous studies, this paper tests the relationship using micro-level data and uses advanced econometric techniques that are likely to provide more precise information regarding the association between exchange rate volatility and trade flows.

scholarly journals Footprint of Personality Characteristics on Financing Objectives: The Arbitrating capacity of Risk Attitude and the Moderating capacity of Investment Savvy

2021 ◽  
Vol 6 (4) ◽  
pp. 163-169
Author(s):  
Javed Hussain ◽  
Tariq Mehmood Dar ◽  
Neelofer Tariq
Keyword(s):  
Risk Attitude ◽  
Personality Characteristics ◽  
Short Term ◽  
Long Run ◽  
Dependent Variables ◽  
Relationship Of ◽  
The Relationship ◽  
Moderating Role

The following study clarifies the role of risk attitude in revolving the relationship between Financing Objectives and personality characteristics and the moderating role of investment savvy between risk attitude and financing objectives by the particular sample size of 200 students. The participants of the study belonged from finance background. To simplify the collected data, the regression analyses was utilized in a flow to implicate the effect upon the dependent variables of the independent variables. To get more enhanced results, the mediator and the moderator were uplifted. Hence by, the results revealed that individuals who are activity, determined, and sympathy towards others are more willing to opt for STFO (short term financing objectives). Whilst, in long run extraversion, openness to experience and agreeableness, and conscientiousness traits are more inclined towards LTFO (long term financing objectives). Moreover, the study further mentions that STFO and LTFO are not much affected by investment savvy of an individuals. Nonetheless, the investment savvy is not really bothered by the relationship of financing objectives and risk attitude.

scholarly journals An Empirical Analysis of the Link between Economic Growth and Exports in Côte d’Ivoire

2019 ◽  
Vol 12 (9) ◽  
pp. 94
Author(s):  
Daouda Coulibaly ◽  
Fulgence Zran Goueu
Keyword(s):  
Economic Growth ◽  
Gross Domestic Product ◽  
Causal Relationship ◽  
Empirical Analysis ◽  
Annual Data ◽  
Short Term ◽  
Causality Test ◽  
Long Run ◽  
The Relationship

This paper aims to analyze the relationship between exports and economic growth in Côte d’Ivoire. In order to achieve this objective, annual data for the period 1960-2017 were tested by using the cointegration approach of Pesaran, Shin and Smith, including the causality test of Breitung and Schreiber. According to our analysis it is only exports that drive economic growth and not the opposite. Exports act positively and significantly on economic growth in the short term as well as in the long term. The causality test of Breitung and schreiber indicates a one-way long-run causal relationship ranging from exports to gross domestic product (GDP). All those results show that exports are a source of Ivorian economic growth.

scholarly journals A Decentralized Context Broker Using Byzantine Fault Tolerant Consensus

Ledger ◽  
2019 ◽  
Author(s):  
Aswin Karthik Ramachandran Venkatapathy ◽  
Michael Ten Hompel
Keyword(s):  
Fault Tolerant ◽  
Heterogeneous Materials ◽  
Proof Of Concept ◽  
Consensus Protocol ◽  
Materials Handling ◽  
Application Service ◽  
Byzantine Fault ◽  
Peer Network ◽  
Communication Methods ◽  
Peer To Peer Network

A context broker is a reliable message-relaying service used to connect devices by integrating all device protocols and communication methods, and reliably transporting messages while isolating data from other application service layers and networking complexities. A highly scalable decentralized context broker stack is composed of three layers—starting with a peer-to-peer network connecting a byzantine fault-tolerant (i.e., blockchain-based) consensus protocol—and it manages the communication using a web-socket streaming protocol as interface to other applications. This paper presents such a concept for a decentralized context broker stack for intercommunication between heterogeneous materials handling systems, and deploys the stack as proof-of-concept using ROS-based robots in a logistics scenario.

scholarly journals Cointegration Approach to the Estimation of the Long-Run Relations between Exchange Rates and Trade Balances in Visegrad Countries

2016 ◽  
Vol 7 (3) ◽  
pp. 37-57
Author(s):  
Jana Šimáková
Keyword(s):  
Exchange Rates ◽  
Foreign Trade ◽  
Behavior Patterns ◽  
Long Term Effects ◽  
Exchange Rate Uncertainty ◽  
Product Categories ◽  
Long Run ◽  
The Relationship ◽  
Visegrád Countries

The paper deals with the relationship between exchange rates and foreign trade. The aim of this paper is to reveal the long-term effects of the level of exchange rates on the trade balances of the Visegrad Countries. As the different product categories are characterized by different price elasticity, exchange rate uncertainty sensitivity and countries are differentiated by consumer and producer behavior patterns, this paper uses territorial and commodity structuring of foreign trade data. An empirical analysis is performed for the period 1999

scholarly journals International Application Model Short-Long Term Between GDP and Consumption : Case Study Indonesia

ECONOMICS ◽  
2018 ◽  
Vol 6 (1) ◽  
pp. 81-90
Author(s):  
Teguh Sugiarto ◽  
Ludiro Madu ◽  
Ahmad Subagyo ◽  
◽  
Keyword(s):  
Causal Relationship ◽  
Short Term ◽  
Causality Test ◽  
Ardl Model ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Term Change ◽  
Short Run ◽  
The Relationship

SUMMARY More recently, significant fluctuations in the Indonesian economy justify the need to pay more attention to this issue. In this case, the main purpose of this research is to know the relationship between two issues related to Indonesian macro economy called consumption and GDP for data period during 1967 until 2014. This study investigates the relationship between GDP variables and Indonesian consumption consumption variables using the test ARDL, cointegration and Granger causality. The result of the research can be concluded that, there is long-run equilibrium relationship between GDP and consumption with long-term ARDL model, 10% change of consumption will produce long-term change of 44% in GDP. It is not surprising that there is no short-run equilibrium relationship between GDP and consumption. 10% of consumption will result in a short-term ARDL model change of 95% in GDP. The variables and consumption of GDP are cointegrated in the long run significantly at lag interval 10, whereas the use of lag interval 1 and 5 is not credited in the long run. Using a cointegration test with lag interval 1, 5 and 10 indicates significant for all usage slowness. So it can be summarized in the context of GDP and coordinated short-term economic consumption for all the prevailing interval lags. concluded that long-term causality test results between GDP variables and significant consumption with time intervals 5 and 10. intervals 1, 15 and 20 have no long-term causality relationship between GDP variables and consumption variables. a short-term causal model. With lagging intervals of 1, 5, 10 and 15, there is a short-term causal relationship between the variable GDP and consumption. As for the use of delay interval 20 there is no causal relationship in the short term between the variable GDP and consumption in Indonesia.

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