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.

A multifractal detrended fluctuation analysis of housing market: a role of financial crises in developed economies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Syed Ali Raza ◽  
Nida Shah ◽  
Muhammad Tahir Suleman ◽  
Md Al Mamun
Keyword(s):  
Financial Crisis ◽  
Housing Market ◽  
Market Efficiency ◽  
House Price ◽  
Fluctuation Analysis ◽  
Content Type ◽  
Multifractal Detrended Fluctuation Analysis ◽  
Long Run ◽  
Before And After

Purpose This study aims to examine the house price fluctuations in G7 countries by using the multifractal detrended fluctuation analysis (MF-DFA) for the years 1970–2019. The study examined the market efficiency between the short-term and long-term in the full sample period, before and after the global financial crisis period. Design/methodology/approach This study uses the MF-DFA to analyze house price fluctuations. Findings The findings confirmed that the housing market series are multifractal. Furthermore, all the markets showed long-term persistence in both the short and long-term. The USA is identified as the most persistent house market in the short run and Japan in the long run. Moreover, in terms of efficiency, Canada is identified as the most efficient house market in the long run and the UK in the short run. Finally, the result of before and after the financial crisis period is consistent with the full sample result. Originality/value The contribution of this study in the literature is fourfold. This is the first study that has examined the house prices efficiency by using the MF-DFA technique given by Kantelhardt et al. (2002). Previously, the house market prices and efficiency has been investigated using generalized Hurst exponent (Liu et al., 2019), Quantile Regression Approach (Chae and Bera, 2019; Tiwari et al., 2019) but no study to the best of the knowledge has been done that has used the MF-DFA technique on the housing market. Second, this is the first study that has focused on the house markets of G7 countries. Third, this study explores the house market efficiency by dividing the market into two periods i.e. before and after the financial crisis. The study strives to investigate if the financial crisis determines the change in the degree of market efficiency or not. Finally, the study gives valuable insights to the investors that will help them in their investment decisions.

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 GDP and Public Expenditure in Education, Health, and Defense. Empirical Research for Greece

Mathematics ◽  
2021 ◽  
Vol 9 (18) ◽  
pp. 2319
Author(s):  
Kyriaki Efthalitsidou ◽  
Eleni Zafeiriou ◽  
Konstantinos Spinthiropoulos ◽  
Ioannis Betsas ◽  
Nikolaos Sariannidis
Keyword(s):  
National Income ◽  
Public Expenditures ◽  
The Public ◽  
Long Run ◽  
Time Period ◽  
Short Run ◽  
Scientific Value ◽  
Relationship Of ◽  
The Relationship ◽  
Public Expenditure In Education

Wagner Law and Keynesian approaches are the two fundamental theories of public finance. The aim of this study is to assess empirical evidence for the public spending–national income relationship at a disaggregated level for the time period 1995–2019. The sectoral public expenditures include education, health, and defense. The data employed were derived by EUROSTAT and OECD. Based on our findings, a sole relationship of the variables was validated, while the causality of the relationship provides conflict results depending on whether two-variate or multivariate methodology is employed. In the case of the multivariate framework that outperforms the two-variate approach in terms of information, the causality is directed from government expenses to the GDP level, validating the Keynesian approach in the long run as well as in the short run. On the other hand, the results validate Wagner Law based on the results of Granger causality pairwise test. A potential interpreatation for the results found is related to the measures imposed by the Memorandum, since the disproportionate cuts of the public expenses in the period of crisis have determined the evolution of national income. The scientific value of the presents study stands on the suggestion of potential effective measures aiming at the limitation of national income shrinkage in periods of severe economic crises worldwide.

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.

scholarly journals Fiscal Impact of Foreign Aid in Morocco: A Multivariate Cointegration Analysis

2018 ◽  
Vol 4 (4) ◽  
pp. 378
Author(s):  
Kawthar Aghoutane ◽  
Mohamed Karim
Keyword(s):  
Foreign Aid ◽  
Cointegration Analysis ◽  
Tax Revenue ◽  
Fiscal Impact ◽  
Correction Model ◽  
Model Following ◽  
Long Run ◽  
Short Run ◽  
The Relationship

<p><em>The aim of this study is to evaluate the relationship between foreign aid and taxe revenue in Morocco by using the Error Correction Model Following the approach of Johansen to jointly capture the long-run relationship and short-run dynamics between aid and tax revenue. Other variables such as the shares of agriculture and industry in GDP, exports, imports and GDP are also included in the model. The results indicate that </em><em>the direct effect of foreign aid on tax revenue is insignificant in the short term</em><em>, but it becomes negative and significant in the long term.</em></p>

scholarly journals Free Trade: Does Myopic Policy Overlook Long-Term Gains?

2017 ◽  
Vol 22 (2) ◽  
pp. 65-88
Author(s):  
Maryiam Haroon
Keyword(s):  
Trade Liberalization ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
Myopic Policy ◽  
The Relationship

This article analyzes the correlation between trade liberalization and welfare in Pakistan from 1986 to 2015. Using consumption expenditure as a measure of welfare, we estimate the relationship using a vector error correction model. The empirical results show that trade liberalization does not have an immediate correlation with welfare: it takes some time for liberalization policies to enhance welfare. The findings also suggest that trade liberalization can help reduce poverty, decrease inequality and increase enrollment levels in the long run. But in the short run, trade liberalization has led to higher income inequality.

scholarly journals Seeking a Chaotic Order in the Cryptocurrency Market

2019 ◽  
Vol 24 (2) ◽  
pp. 36 ◽  
Author(s):  
Samet Gunay ◽  
Kerem Kaşkaloğlu
Keyword(s):  
Initial Conditions ◽  
Largest Lyapunov Exponent ◽  
Fluctuation Analysis ◽  
Multifractal Detrended Fluctuation Analysis ◽  
The Public ◽  
Box Counting ◽  
The Media ◽  
Bds Test ◽  
Detrended Fluctuation

In this study, we investigate the existence of chaos in the global cryptocurrency market. Specifically, we analyze parameters of chaotic order, nonlinearity, sensitivity to the initial conditions, monofractality, and multifractality. For this purpose, we conduct a comprehensive series of tests, including Brock–Dechert–Scheinkman (BDS) test, largest Lyapunov exponent, box-counting, and monogram analysis for fractal dimension, and multiple tests for long-range dependence (Aggregated Variances, Peng, Higuchi, R/S Analysis, and Multifractal Detrended Fluctuation Analysis (MFDFA)). All tests are performed over a variety of major cryptocurrencies: Bitcoin, Litecoin, Ethereum, and Ripple. The empirical results support the existence of chaos in the cryptocurrency market. Accordingly, cryptocurrency returns are not random and follow a chaotic order. Therefore, long term predictions are not possible, contrary to most of the discussions ongoing in the media and the public.

Electricity consumption and economic growth in ASEAN

2017 ◽  
Vol 5 (2) ◽  
pp. 16
Author(s):  
Ahmad Ghazali Ismail ◽  
Arlinah Abd Rashid ◽  
Azlina Hanif
Keyword(s):  
Economic Growth ◽  
Energy Use ◽  
Electricity Consumption ◽  
Panel Estimation ◽  
Real Gdp ◽  
Long Run ◽  
Bidirectional Relationship ◽  
Short Run ◽  
Using Data ◽  
The Relationship

The relationship and causality direction between electricity consumption and economic growth is an important issue in the fields of energy economics and policies towards energy use. Extensive literatures has discussed the issue, but the array of findings provides anything but consensus on either the existence of relations or direction of causality between the variables. This study extends research in this area by studying the long-run and causal relations between economic growth, electricity consumption, labour and capital based on the neo-classical one sector aggregate production technology mode using data of electricity consumption and real GDP for ASEAN from the year 1983 to 2012. The analysis is conducted using advanced panel estimation approaches and found no causality in the short run while in the long-run, the results indicate that there are bidirectional relationship among variables. This study provides supplementary evidences of relationship between electricity consumption and economic growth in ASEAN.

ANALISIS PENGARUH EKSPOR TERHADAP PERTUMBUHAN EKONOMI INDONESIA

2017 ◽  
Vol 11 (1) ◽  
pp. 1-20
Author(s):  
Ari Mulianta Ginting
Keyword(s):  
Economic Growth ◽  
Export Performance ◽  
Descriptive Analysis ◽  
Correction Model ◽  
Administration System ◽  
Long Run ◽  
Short Run ◽  
Available Information ◽  
Increasing Trends ◽  
The Relationship

Ekspor merupakan salah satu faktor terjadinya peningkatan pertumbuhan ekonomi suatu negara, sejalan dengan hipotesis export-led growth (ELG). Penelitian ini menganalisis perkembangan ekspor dan pertumbuhan ekonomi Indonesia periode kuartal I 2001 sampai dengan kuartal IV 2015. Penelitian ini menggunakan analisis deskriptif dalam menggambarkan perkembangan pertumbuhan ekonomi serta ekspor dan analisis kuantitatif metode Error Correction Model (ECM) dalam menganalisis efek jangka panjang dan jangka pendek dari ekspor terhadap pertumbuhan ekonomi. Pada periode penelitian, data yang ada menunjukkan bahwa ekspor dan pertumbuhan ekonomi Indonesia sama-sama mengalami peningkatan. Hasil regresi ECM menunjukkan bahwa ekspor memiliki pengaruh yang positif dan signifikan secara statistik terhadap pertumbuhan ekonomi Indonesia, yang mendukung hipotesis bahwa ELG berlaku untuk Indonesia. Berdasarkan hasil penelitian ini, maka untuk mendorong pertumbuhan ekonomi Indonesia diperlukan peningkatan kinerja ekspor Indonesia. Peningkatan kinerja ekspor Indonesia dapat dilakukan dengan berbagai cara, salah satunya adalah dengan perbaikan sistem administrasi ekspor, peningkatan riset dan pengembangan produk Indonesia, peningkatan sarana dan prasarana infrastruktur, stabilitas nilai tukar dan perluasan pasar non tradisional, termasuk perbaikan struktur ekspor komoditas. Export is one of the factors behind the economic growth which is in line with the export-led growth hypotesis (ELG). This research analyzes the relationship between economic growth and export of Indonesia during first quarter of 2001 until fourth quarter of 2015. It employs descriptive analysis to describe export movement and economic growth during the study period and ECM model to analyze the long run and the short run effects of export on the economic growth. The available information indicated that, during the study period, both export and economic growth showed similar increasing trends. The result of the ECM model revealed that export had a positive and statistically significant relationship with the economic growth, supporting the hypotesis of ELG in Indonesia. Hence, to accelerate economic growth, efforts are required to boost the export performance in Indonesia. The Export performance can be increased by several way, such as improving the export administration system, increasing the research and development of Indonesian products, improving the facilities and infrastructure, exchange rate stability and the non-tradisional markets expansion, and including improvement of the export commodity structure.

Where Did All the Dollars Go? The Effect of Cash Flows on Capital and Asset Structure

2011 ◽  
Vol 46 (5) ◽  
pp. 1259-1294 ◽  
Author(s):  
Sudipto Dasgupta ◽  
Thomas H. Noe ◽  
Zhen Wang
Keyword(s):  
Cash Flow ◽  
Economic Effect ◽  
Balance Sheet ◽  
Cash Flows ◽  
Long Run ◽  
Goods Market ◽  
Short Run ◽  
Debt Market ◽  
Short And Long Term

AbstractThis paper documents the short- and long-term balance sheet effect of cash flows. We show that cash savings in the short run and debt reduction in both the short and the long run account for a substantial fraction of cash flow use. Although, in the long run, investment exhibits substantial sensitivity to cash flows, investment does not absorb the entire cash flow shock. In fact, the tighter the financial constraints, the smaller the fraction of cash flow absorbed by investment and the more by leverage reduction. Firms stage their response to increases in cash flow, delaying investment while building up cash stocks and reducing leverage. These results suggest that much of the short-run economic effect of cash flow shocks to the corporate sector may be channeled into the corporate debt market rather than the capital goods market, especially when financing constraints tighten.

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