Working Paper |
File Downloads |
Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
Are the Crude Oil Markets Really Becoming More Efficient over Time? Some New Evidence |
0 |
0 |
0 |
24 |
0 |
0 |
2 |
105 |
Biofuels: Review of Policies and Impacts |
1 |
1 |
1 |
71 |
1 |
1 |
1 |
152 |
Biofuels: review of policies and impacts |
0 |
0 |
0 |
30 |
1 |
1 |
1 |
24 |
Can Google Trends search queries contribute to risk diversification? |
0 |
0 |
0 |
50 |
0 |
0 |
3 |
116 |
Can Google searches help nowcast and forecast unemployment rates in the Visegrad Group countries? |
0 |
0 |
0 |
47 |
2 |
2 |
3 |
75 |
Classical and modified rescaled range analysis: Sampling properties under heavy tails |
0 |
0 |
0 |
91 |
0 |
0 |
0 |
252 |
Co-movements of Ethanol Related Prices: Evidence from Brazil and the USA |
0 |
0 |
0 |
40 |
0 |
0 |
1 |
176 |
Commodity futures and market efficiency |
0 |
0 |
0 |
39 |
3 |
3 |
5 |
114 |
Comovement of Central European stock markets using wavelet coherence: Evidence from high-frequency data |
0 |
0 |
0 |
108 |
0 |
2 |
4 |
269 |
Correlations between biofuels and related commodities: A taxonomy perspective |
0 |
0 |
0 |
16 |
0 |
0 |
1 |
77 |
Correlations between biofuels and related commodities: A taxonomy perspective |
0 |
0 |
0 |
25 |
0 |
0 |
0 |
92 |
Detrended fluctuation analysis as a regression framework: Estimating dependence at different scales |
0 |
0 |
0 |
60 |
0 |
0 |
0 |
27 |
Detrending moving-average cross-correlation coefficient: Measuring cross-correlations between non-stationary series |
0 |
0 |
2 |
44 |
0 |
2 |
7 |
108 |
Distinguishing between short and long range dependence: Finite sample properties of rescaled range and modified rescaled range |
0 |
0 |
0 |
84 |
0 |
0 |
1 |
344 |
Diversification Among Cryptoassets: Bitcoin Maximalism, Active Portfolio Management, and Survival Bias |
0 |
0 |
0 |
44 |
1 |
1 |
6 |
118 |
Exponential and power laws in public procurement markets |
0 |
0 |
0 |
15 |
0 |
0 |
0 |
32 |
Finite sample properties of power-law cross-correlations estimators |
0 |
0 |
0 |
73 |
1 |
2 |
4 |
44 |
Food versus Fuel: An Updated and Expanded Evidence |
0 |
0 |
0 |
7 |
0 |
0 |
2 |
76 |
Food versus fuel: An updated and expanded evidence |
0 |
0 |
0 |
19 |
1 |
1 |
2 |
60 |
Foods, Fuels or Finances: Which Prices Matter for Biofuels? |
0 |
0 |
0 |
28 |
0 |
0 |
0 |
54 |
Foods, fuels or finances: Which prices matter for biofuels? |
0 |
0 |
0 |
37 |
0 |
0 |
0 |
67 |
Fractal Markets Hypothesis and the Global Financial Crisis: Scaling, Investment Horizons and Liquidity |
0 |
0 |
2 |
65 |
0 |
1 |
4 |
241 |
Fractal Markets Hypothesis and the Global Financial Crisis: Wavelet Power Evidence |
0 |
0 |
0 |
68 |
1 |
1 |
3 |
79 |
Fractal approach towards power-law coherency to measure cross-correlations between time series |
0 |
0 |
0 |
31 |
0 |
0 |
0 |
21 |
Gold, currencies and market efficiency |
0 |
0 |
0 |
26 |
1 |
2 |
3 |
78 |
Good vs. Bad Volatility in Major Cryptocurrencies: The Dichotomy and Drivers of Connectedness |
0 |
1 |
5 |
13 |
2 |
3 |
17 |
31 |
Grandpa, grandpa, tell me the one about Bitcoin being a safe haven: Evidence from the COVID-19 pandemics |
0 |
0 |
1 |
57 |
3 |
3 |
14 |
140 |
Herding, minority game, market clearing and efficient markets in a simple spin model framework |
0 |
0 |
0 |
22 |
1 |
1 |
3 |
49 |
How are rescaled range analyses affected by different memory and distributional properties? A Monte Carlo study |
0 |
0 |
0 |
17 |
0 |
1 |
2 |
93 |
Leverage effect in energy futures |
0 |
0 |
0 |
21 |
1 |
1 |
2 |
139 |
Leverage effect in energy futures |
0 |
0 |
0 |
16 |
1 |
1 |
1 |
71 |
Long-range dependence in returns and volatility of Central European Stock Indices |
0 |
0 |
0 |
40 |
1 |
1 |
2 |
118 |
Long-term memory in electricity prices: Czech market evidence |
0 |
0 |
0 |
22 |
0 |
0 |
1 |
44 |
Measuring capital market efficiency: Global and local correlations structure |
0 |
0 |
0 |
78 |
0 |
1 |
2 |
394 |
Measuring capital market efficiency: Long-term memory, fractal dimension and approximate entropy |
0 |
0 |
1 |
40 |
0 |
0 |
2 |
135 |
Measuring capital market efficiency: Long-term memory, fractal dimension and approximate entropy |
0 |
0 |
0 |
68 |
3 |
3 |
5 |
95 |
Measuring correlations between non-stationary series with DCCA coefficient |
0 |
0 |
0 |
56 |
0 |
0 |
2 |
129 |
Mixed-correlated ARFIMA processes for power-law cross-correlations |
0 |
0 |
0 |
27 |
0 |
0 |
1 |
58 |
Modeling UK Mortgage Demand Using Online Searches |
0 |
0 |
0 |
30 |
2 |
2 |
2 |
40 |
Modeling the Environmental and Socio-Economic Impacts of Biofuels |
0 |
0 |
0 |
86 |
0 |
1 |
1 |
202 |
Multifractal Height Cross-Correlation Analysis: A New Method for Analyzing Long-Range Cross-Correlations |
0 |
0 |
0 |
21 |
1 |
1 |
1 |
116 |
Mutual Responsiveness of Biofuels, Fuels and Food Prices |
0 |
0 |
0 |
45 |
0 |
1 |
4 |
220 |
Non-linear Price Transmission between Biofuels, Fuels and Food Commodities |
0 |
0 |
0 |
63 |
0 |
0 |
1 |
136 |
Non-linear price transmission between biofuels, fuels and food commodities |
0 |
0 |
0 |
37 |
0 |
0 |
0 |
75 |
Nowcasting unemployment rates with Google searches: Evidence from the Visegrad Group countries |
0 |
0 |
1 |
60 |
0 |
2 |
6 |
137 |
On Empirical Challenges in Forecasting Market Betas in Crypto Markets |
0 |
0 |
0 |
17 |
0 |
0 |
3 |
34 |
On Hurst exponent estimation under heavy-tailed distributions |
0 |
0 |
0 |
115 |
0 |
0 |
6 |
318 |
On the interplay between short and long term memory in the power-law cross-correlations setting |
0 |
0 |
0 |
7 |
0 |
0 |
2 |
47 |
Power-law correlations in finance-related Google searches, and their cross-correlations with volatility and traded volume: Evidence from the Dow Jones Industrial components |
0 |
0 |
0 |
17 |
0 |
0 |
1 |
104 |
Power-law cross-correlations estimation under heavy tails |
0 |
0 |
0 |
26 |
0 |
0 |
1 |
43 |
Power-law cross-correlations: Issues, solutions and future challenges |
0 |
0 |
0 |
28 |
0 |
0 |
1 |
44 |
Price Transmission and Policies in Biofuels-Related Global Networks |
0 |
0 |
1 |
20 |
0 |
0 |
3 |
35 |
Price elasticity of household water demand in the Czech Republic |
0 |
0 |
3 |
36 |
0 |
1 |
4 |
139 |
Prices of Biofuels and Related Commodities: An Example of Combined Economics and Graph Theory Approach |
0 |
0 |
0 |
43 |
2 |
2 |
2 |
54 |
Procesy s dlouhou pamětí a jejich vývoj ve výnosech indexu PX v letech 1999 – 2009 |
0 |
0 |
0 |
15 |
0 |
0 |
1 |
264 |
Provazanost trhu potravin, biopaliv a fosilnich paliv |
0 |
0 |
0 |
40 |
0 |
0 |
0 |
115 |
R/S analysis and DFA: finite sample properties and confidence intervals |
0 |
0 |
0 |
79 |
1 |
1 |
3 |
313 |
Regime-Dependent Topological Properties of Biofuels Networks |
0 |
0 |
0 |
13 |
0 |
0 |
1 |
109 |
Relationship Between Prices of Food, Fuel and Biofuel |
0 |
1 |
2 |
69 |
0 |
2 |
4 |
152 |
Return and volatility spillovers between Chinese and U.S. Clean Energy Related Stocks: Evidence from VAR-MGARCH estimations |
0 |
0 |
1 |
19 |
1 |
1 |
4 |
26 |
Return and volatility spillovers between Chinese and US clean energy related stocks |
0 |
0 |
4 |
22 |
1 |
1 |
8 |
46 |
Rockets and Feathers Meet Joseph: Reinvestigating the Oil-gasoline Asymmetry on the International Markets |
0 |
0 |
0 |
16 |
2 |
2 |
2 |
86 |
Rockets and feathers meet Joseph: Reinvestigating the oil-gasoline asymmetry on the international markets |
0 |
0 |
0 |
32 |
1 |
1 |
3 |
93 |
Spectrum-based estimators of the bivariate Hurst exponent |
0 |
0 |
0 |
68 |
1 |
1 |
2 |
89 |
Testing power-law cross-correlations: Rescaled covariance test |
0 |
0 |
0 |
19 |
0 |
1 |
2 |
54 |
The Perspectives for Genetically Modified Cellulosic Ethanol in the Czech Republic |
0 |
0 |
0 |
21 |
3 |
3 |
3 |
96 |
The Relationship Between Fuel, Biofuel and Food Prices: Methods and Outcomes |
0 |
0 |
0 |
28 |
1 |
1 |
2 |
66 |
The relationship between fuel and food prices: Methods, outcomes, and lessons for commodity price risk management |
0 |
0 |
2 |
51 |
1 |
2 |
11 |
225 |
Time-Frequency Dynamics of Biofuels-Fuels-Food System |
0 |
0 |
0 |
48 |
0 |
0 |
0 |
195 |
Time-Frequency Dynamics of Biofuels-Fuels-Food System |
0 |
0 |
0 |
42 |
0 |
1 |
1 |
100 |
Underpricing, underperformance and overreaction in initial pubic offerings: Evidence from investor attention using online searches |
0 |
0 |
0 |
35 |
0 |
1 |
2 |
88 |
What are the main drivers of the Bitcoin price? Evidence from wavelet coherence analysis |
0 |
0 |
0 |
72 |
1 |
1 |
4 |
178 |
What are the main drivers of the Bitcoin price? Evidence from wavelet coherence analysis |
0 |
0 |
5 |
104 |
0 |
0 |
24 |
410 |
Worldwide clustering of the corruption perception |
0 |
0 |
0 |
10 |
0 |
0 |
1 |
59 |
Total Working Papers |
1 |
3 |
31 |
3,073 |
42 |
63 |
223 |
8,805 |
Journal Article |
File Downloads |
Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
Are clean energy stocks efficient? Asymmetric multifractal scaling behaviour |
0 |
0 |
1 |
9 |
0 |
1 |
4 |
31 |
Are the crude oil markets really becoming more efficient over time? Some new evidence |
0 |
0 |
0 |
5 |
0 |
0 |
1 |
40 |
Assessing the impact of the Russia–Ukraine war on energy prices: A dynamic cross-correlation analysis |
0 |
2 |
5 |
8 |
1 |
5 |
26 |
39 |
Biofuels: policies and impacts |
0 |
0 |
1 |
1 |
1 |
1 |
3 |
6 |
Bitcoin and its mining on the equilibrium path |
0 |
1 |
5 |
19 |
1 |
5 |
26 |
125 |
Bitcoin, gold, and commodities as safe havens for stocks: New insight through wavelet analysis |
2 |
4 |
17 |
119 |
5 |
12 |
60 |
420 |
Can the bivariate Hurst exponent be higher than an average of the separate Hurst exponents? |
0 |
0 |
0 |
1 |
1 |
1 |
2 |
23 |
Capital asset pricing model in Portugal: Evidence from fractal regressions |
0 |
1 |
1 |
17 |
0 |
1 |
6 |
73 |
Ceny biopaliv a souvisejících komodit: analýza s použitím metod minimální kostry grafu a hierarchických stromů |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
128 |
Commodity futures and market efficiency |
3 |
4 |
5 |
109 |
4 |
6 |
13 |
379 |
Connectedness among major cryptocurrencies in standard times and during the COVID-19 outbreak |
1 |
1 |
3 |
9 |
1 |
3 |
12 |
41 |
Correlations between biofuels and related commodities before and during the food crisis: A taxonomy perspective |
0 |
0 |
2 |
33 |
2 |
2 |
8 |
174 |
Cryptocurrencies market efficiency ranking: Not so straightforward |
0 |
0 |
0 |
7 |
0 |
0 |
2 |
35 |
DCCA and DMCA correlations of cryptocurrency markets |
0 |
0 |
0 |
15 |
0 |
0 |
7 |
88 |
Detrending moving-average cross-correlation coefficient: Measuring cross-correlations between non-stationary series |
0 |
0 |
0 |
13 |
1 |
3 |
7 |
101 |
Dlouhá paměť a její vývoj ve výnosech burzovního indexu PX v letech 1997-2009 |
0 |
0 |
0 |
24 |
0 |
0 |
1 |
122 |
Do ‘complex’ financial models really lead to complex dynamics? Agent-based models and multifractality |
0 |
0 |
1 |
14 |
0 |
1 |
4 |
55 |
Does parameterization affect the complexity of agent-based models? |
0 |
0 |
0 |
0 |
0 |
2 |
4 |
9 |
Does solar activity affect human happiness? |
0 |
0 |
1 |
11 |
1 |
4 |
8 |
46 |
Dynamics and evolution of the role of biofuels in global commodity and financial markets |
0 |
0 |
6 |
12 |
0 |
1 |
11 |
25 |
Editorial to special issue “Hidden market linkages between Bitcoin, cryptocurrencies and financial markets: Evidence from high-frequency data and higher-order moments” in financial innovation |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
Efektivita kapitálových trhů: fraktální dimenze, Hurstův exponent a entropie |
0 |
0 |
0 |
84 |
0 |
0 |
0 |
250 |
Exploring sources of statistical arbitrage opportunities among Bitcoin exchanges |
1 |
1 |
8 |
25 |
1 |
2 |
15 |
56 |
Exploring the relationship between Bitcoin price and network’s hashrate within endogenous system |
0 |
1 |
10 |
16 |
2 |
3 |
24 |
50 |
FRACTAL MARKETS HYPOTHESIS AND THE GLOBAL FINANCIAL CRISIS: SCALING, INVESTMENT HORIZONS AND LIQUIDITY |
0 |
0 |
2 |
9 |
1 |
1 |
4 |
38 |
Finite sample properties of power-law cross-correlations estimators |
0 |
0 |
0 |
2 |
0 |
1 |
4 |
30 |
Food versus fuel: An updated and expanded evidence |
0 |
0 |
0 |
11 |
0 |
1 |
3 |
91 |
Fractality in market risk structure: Dow Jones Industrial components case |
0 |
0 |
1 |
3 |
1 |
1 |
3 |
10 |
Fundamental and speculative components of the cryptocurrency pricing dynamics |
0 |
0 |
0 |
1 |
1 |
1 |
3 |
11 |
Gold, currencies and market efficiency |
0 |
0 |
0 |
9 |
0 |
0 |
1 |
37 |
Has global warming modified the relationship between sunspot numbers and global temperatures? |
0 |
0 |
0 |
11 |
0 |
0 |
0 |
36 |
Heterogeneity in economic relationships: Scale dependence through the multivariate fractal regression |
0 |
1 |
3 |
7 |
1 |
3 |
8 |
14 |
How are rescaled range analyses affected by different memory and distributional properties? A Monte Carlo study |
0 |
0 |
0 |
5 |
0 |
0 |
3 |
31 |
Impact of the COVID-19 outbreak on the US equity sectors: Evidence from quantile return spillovers |
0 |
0 |
2 |
16 |
0 |
2 |
5 |
39 |
Information interdependence among energy, cryptocurrency and major commodity markets |
1 |
2 |
4 |
72 |
1 |
6 |
19 |
198 |
Is Bitcoin a better safe-haven investment than gold and commodities? |
3 |
5 |
16 |
151 |
11 |
22 |
72 |
534 |
Is the Bitcoin price dynamics economically reasonable? Evidence from fundamental laws |
0 |
0 |
2 |
20 |
1 |
1 |
6 |
54 |
Leverage effect in energy futures |
0 |
0 |
0 |
27 |
0 |
0 |
3 |
138 |
Long-term Memory in Electricity Prices: Czech Market Evidence |
0 |
0 |
2 |
22 |
1 |
2 |
5 |
132 |
Market efficiency in the art markets using a combination of long memory, fractal dimension, and approximate entropy measures |
1 |
2 |
2 |
22 |
1 |
4 |
8 |
57 |
Measuring capital market efficiency: Global and local correlations structure |
1 |
1 |
3 |
59 |
1 |
2 |
6 |
189 |
Measuring capital market efficiency: long-term memory, fractal dimension and approximate entropy |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
13 |
Measuring correlations between non-stationary series with DCCA coefficient |
0 |
0 |
2 |
14 |
0 |
0 |
18 |
111 |
Microstructure noise and idiosyncratic volatility anomalies in cryptocurrencies |
0 |
0 |
9 |
9 |
0 |
1 |
17 |
17 |
Mixed-correlated ARFIMA processes for power-law cross-correlations |
0 |
0 |
0 |
3 |
0 |
1 |
2 |
60 |
Modelování provázanosti trhů potravin, biopaliv a fosilních paliv |
0 |
0 |
0 |
28 |
0 |
0 |
1 |
126 |
Nowcasting Unemployment Rates with Google Searches: Evidence from the Visegrad Group Countries |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
20 |
On Bitcoin markets (in)efficiency and its evolution |
1 |
3 |
10 |
78 |
3 |
6 |
24 |
225 |
On Hurst exponent estimation under heavy-tailed distributions |
0 |
0 |
1 |
20 |
0 |
1 |
8 |
156 |
On Tail Dependence and Multifractality |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
On spurious anti-persistence in the US stock indices |
0 |
0 |
0 |
1 |
1 |
1 |
3 |
8 |
On the interplay between short and long term memory in the power-law cross-correlations setting |
0 |
0 |
0 |
0 |
2 |
2 |
3 |
51 |
On the role of stablecoins in cryptoasset pricing dynamics |
0 |
1 |
1 |
2 |
0 |
1 |
5 |
13 |
Power-law correlations in finance-related Google searches, and their cross-correlations with volatility and traded volume: Evidence from the Dow Jones Industrial components |
0 |
0 |
0 |
5 |
0 |
0 |
1 |
46 |
Price transmission in biofuel-related global agricultural networks |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Realised volatility connectedness among Bitcoin exchange markets |
1 |
1 |
2 |
11 |
1 |
2 |
5 |
44 |
Regime-dependent topological properties of biofuels networks |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
23 |
Rescaled Range Analysis and Detrended Fluctuation Analysis: Finite Sample Properties and Confidence Intervals |
0 |
0 |
1 |
96 |
0 |
1 |
11 |
472 |
Return and volatility spillovers between Chinese and U.S. clean energy related stocks |
0 |
0 |
3 |
5 |
0 |
0 |
5 |
11 |
Rockets and feathers meet Joseph: Reinvestigating the oil–gasoline asymmetry on the international markets |
0 |
0 |
0 |
10 |
0 |
0 |
2 |
84 |
Safe haven, hedge and diversification for G7 stock markets: Gold versus bitcoin |
3 |
5 |
17 |
125 |
6 |
15 |
50 |
401 |
Safe havens for Bitcoin |
2 |
3 |
4 |
13 |
3 |
7 |
12 |
27 |
Tethered, or Untethered? On the interplay between stablecoins and major cryptoassets |
0 |
1 |
2 |
13 |
0 |
2 |
4 |
35 |
The Relationship Between Fuel and Food Prices: Methods and Outcomes |
0 |
0 |
0 |
1 |
1 |
3 |
7 |
22 |
The perspectives for genetically modified cellulosic biofuels in the Central European conditions |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Time–frequency dynamics of biofuel–fuel–food system |
0 |
0 |
0 |
18 |
0 |
1 |
3 |
109 |
Uncovered interest rate parity through the lens of fractal methods: Evidence from the European Union |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
26 |
What Are the Main Drivers of the Bitcoin Price? Evidence from Wavelet Coherence Analysis |
0 |
2 |
4 |
78 |
1 |
3 |
23 |
415 |
What is new about covered interest parity condition in the European Union? Evidence from fractal cross-correlation regressions |
0 |
0 |
1 |
11 |
0 |
1 |
3 |
38 |
Will Bitcoin ever become less volatile? |
0 |
1 |
2 |
11 |
1 |
2 |
10 |
22 |
Worldwide clustering of the corruption perception |
0 |
0 |
0 |
8 |
1 |
2 |
3 |
65 |
Total Journal Articles |
20 |
43 |
162 |
1,572 |
61 |
153 |
618 |
6,598 |