output
20072026
most citedDetrended Cross-Correlation Analysis: A New Method for Analyzing Two Non-stationary Time Series

1.5k citations

26 papers

quant-ph2026

Finite path integrals on stochastic branched structures

Roukaya Dekhil, Clifford Ellgen, Bruno Klajn

In this paper, we present a statistical model of spacetime trajectories based on a finite collection of paths organized into a branched manifold. For each configuration of the bran…

physics.soc-ph2021★ 649 cited

Social physics

Marko Jusup, Petter Holme, Kiyoshi Kanazawa +12

Recent decades have seen a rise in the use of physics methods to study different societal phenomena. This development has been due to physicists venturing outside of their traditio…

physics.bio-ph2021★ 20 cited

Autopoietic influence hierarchies in pancreatic -cells

Dean Korošak, Marko Jusup, Boris Podobnik +4

-cells are biologically essential for humans and other vertebrates. Because their functionality arises from cell-cell interactions, they are also a model system for collective o…

q-fin.ST2018★ 124 cited

Scaling properties of extreme price fluctuations in Bitcoin markets

Stjepan Begušić, Zvonko Kostanjčar, H. Eugene Stanley +1

Detection of power-law behavior and studies of scaling exponents uncover the characteristics of complexity in many real world phenomena. The complexity of financial markets has alw…

q-fin.ST2017★ 34 cited

The q-dependent detrended cross-correlation analysis of stock market

Longfeng Zhao, Wei Li, Andrea Fenu +3

The properties of q-dependent cross-correlation matrices of stock market have been analyzed by using the random matrix theory and complex network. The correlation structures of the…

q-fin.ST2016★ 26 cited

Short term prediction of extreme returns based on the recurrence interval analysis

Zhi-Qiang Jiang, Gang-Jin Wang, Askery Canabarro +4

Being able to predict the occurrence of extreme returns is important in financial risk management. Using the distribution of recurrence intervals---the waiting time between consecu…

physics.soc-ph2016★ 6 cited

How fear of future outcomes affects social dynamics

Boris Podobnik, Marko Jusup, Zhen Wang +1

Mutualistic relationships among the different species are ubiquitous in nature. To prevent mutualism from slipping into antagonism, a host often invokes a "carrot and stick" approa…

q-fin.CP2015★ 16 cited

Estimating Tipping Points in Feedback-Driven Financial Networks

Zvonko Kostanjcar, Stjepan Begusic, H. E. Stanley +1

Much research has been conducted arguing that tipping points at which complex systems experience phase transitions are difficult to identify. To test the existence of tipping point…

q-fin.ST2015★ 12 cited

Early warning of large volatilities based on recurrence interval analysis in Chinese stock markets

Zhi-Qiang Jiang, Askery A. Canabarro, Boris Podobnik +2

Being able to forcast extreme volatility is a central issue in financial risk management. We present a large volatility predicting method based on the distribution of recurrence in…

q-fin.GN2015★ 30 cited

Stochastic model of financial markets reproducing scaling and memory in volatility return intervals

Vygintas Gontis, Shlomo Havlin, Aleksejus Kononovicius +2

We investigate the volatility return intervals in the NYSE and FOREX markets. We explain previous empirical findings using a model based on the interacting agent hypothesis instead…

q-fin.RM2015★ 12 cited

Agent-based mapping of credit risk for sustainable microfinance

Joung-Hun Lee, Marko Jusup, Boris Podobnik +1

Inspired by recent ideas on how the analysis of complex financial risks can benefit from analogies with independent research areas, we propose an unorthodox framework for mapping m…

q-fin.ST2015★ 210 cited

Detrended partial cross-correlation analysis of two nonstationary time series influenced by common external forces

Xi-Yuan Qian, Ya-Min Liu, Zhi-Qiang Jiang +3

When common factors strongly influence two power-law cross-correlated time series recorded in complex natural or social systems, using classic detrended cross-correlation analysis…

physics.soc-ph2015★ 73 cited

Division of labor, skill complementarity, and heterophily in socioeconomic networks

Wen-Jie Xie, Ming-Xia Li, Zhi-Qiang Jiang +4

Constituents of complex systems interact with each other and self-organize to form complex networks. Empirical results show that the link formation process of many real networks fo…

cs.SI2015★ 56 cited

The cost of attack in competing networks

Boris Podobnik, Davor Horvatic, Tomislav Lipic +3

Real-world attacks can be interpreted as the result of competitive interactions between networks, ranging from predator-prey networks to networks of countries under economic sancti…

q-fin.RM2014★ 15 cited

Systemic risk in dynamical networks with stochastic failure criterion

B. Podobnik, D. Horvatic, M. Bertella +3

Complex non-linear interactions between banks and assets we model by two time-dependent Erdős Renyi network models where each node, representing bank, can invest either to a single…

physics.soc-ph2014★ 27 cited

Network Risk and Forecasting Power in Phase-Flipping Dynamical Networks

B. Podobnik, A. Majdandzic, C. Curme +4

In order to model volatile real-world network behavior, we analyze phase-flipping dynamical scale-free network in which nodes and links fail and recover. We investigate how stochas…

q-fin.ST2013★ 97 cited

Systemic risk and spatiotemporal dynamics of the US housing market

Hao Meng, Wen-Jie Xie, Zhi-Qiang Jiang +3

Housing markets play a crucial role in economies and the collapse of a real-estate bubble usually destabilizes the financial system and causes economic recessions. We investigate t…

physics.soc-ph2013★ 173 cited

Calling patterns in human communication dynamics

Zhi-Qiang Jiang, Wen-Jie Xie, Ming-Xia Li +3

Modern technologies not only provide a variety of communication modes, e.g., texting, cellphone conversation, and online instant messaging, but they also provide detailed electroni…

physics.soc-ph2012★ 19 cited

Preferential Attachment in the Interaction between Dynamically Generated Interdependent Networks

Boris Podobnik, Davor Horvatic, Mark Dickison +1

We generalize the scale-free network model of Barabàsi and Albert [Science 286, 509 (1999)] by proposing a class of stochastic models for scale-free interdependent networks in whic…

q-fin.GN2012

The competitiveness versus the wealth of a country

Boris Podobnik, Davor Horvatic, Dror Y. Kenett +1

Politicians world-wide frequently promise a better life for their citizens. We find that the probability that a country will increase its {\it per capita} GDP ({\it gdp}) rank with…

physics.geo-ph2011★ 19 cited

Scaling of Seismic Memory with Earthquake Size

Zeyu Zheng, Kazuko Yamasaki, Joel Tenenbaum +2

It has been observed that the earthquake events possess short-term memory, i.e. that events occurring in a particular location are dependent on the short history of that location.…

q-fin.ST2010★ 637 cited

Cross-correlations between volume change and price change

Boris Podobnik, Davor Horvatic, Alexander M. Petersen +1

In finance, one usually deals not with prices but with growth rates , defined as the difference in logarithm between two consecutive prices. Here we consider not the trading vol…

q-fin.GN2007★ 125 cited

Influence of corruption on economic growth rate and foreign investments

Boris Podobnik, Jia Shao, Djuro Njavro +2

In order to investigate whether government regulations against corruption can affect the economic growth of a country, we analyze the dependence between Gross Domestic Product (GDP…

q-fin.ST2007★ 142 cited

Modeling long-range cross-correlations in two-component ARFIMA and FIARCH processes

Boris Podobnik, Davor Horvatic, Alfonso Lam Ng +2

We investigate how simultaneously recorded long-range power-law correlated multi-variate signals cross-correlate. To this end we introduce a two-component ARFIMA stochastic process…