#### Filter Results:

#### Publication Year

1993

2017

#### Publication Type

#### Co-author

#### Publication Venue

#### Key Phrases

#### Method

#### Organism

Learn More

- Boris Podobnik, Davor Horvatic, Alexander M Petersen, Branko Urosevic, H Eugene Stanley
- Proceedings of the National Academy of Sciences…
- 2010

We analyze the size dependence and temporal stability of firm bankruptcy risk in the US economy by applying Zipf scaling techniques. We focus on a single risk factor--the debt-to-asset ratio R--in order to study the stability of the Zipf distribution of R over time. We find that the Zipf exponent increases during market crashes, implying that firms go… (More)

- Boris Podobnik, Davor Horvatic, Alexander M Petersen, H Eugene Stanley
- Proceedings of the National Academy of Sciences…
- 2009

In finance, one usually deals not with prices but with growth rates R, defined as the difference in logarithm between two consecutive prices. Here we consider not the trading volume, but rather the volume growth rate R, the difference in logarithm between two consecutive values of trading volume. To this end, we use several methods to analyze the properties… (More)

– We study long-range magnitude cross-correlations in collective modes of real-world data from finance, physiology, and genomics using time-lag random matrix theory. We find long-range magnitude cross-correlations i) in time series of price fluctuations, ii) in physiological time series, both healthy and pathological, indicating scale-invariant interactions… (More)

- Aleksandar Sabljic, Davor Horvatic
- Journal of Chemical Information and Computer…
- 1993

- Duan Wang, Boris Podobnik, Davor Horvatić, H Eugene Stanley
- Physical review. E, Statistical, nonlinear, and…
- 2011

We propose a modified time lag random matrix theory in order to study time-lag cross correlations in multiple time series. We apply the method to 48 world indices, one for each of 48 different countries. We find long-range power-law cross correlations in the absolute values of returns that quantify risk, and find that they decay much more slowly than cross… (More)

- Boris Podobnik, Davor Horvatic, Mark Dickison, H. Eugene Stanley
- ArXiv
- 2012

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 which interdependent nodes are not randomly connected but rather are connected via preferential attachment (PA). Each network grows through the continuous addition of new nodes, and… (More)

- B. Podobnik, I. Grosse, D. Horvatić, S. Ilic
- 2009

- Boris Podobnik, Davor Horvatic, Fabio Pammolli, Fengzhong Wang, H Eugene Stanley, I Grosse
- Physical review. E, Statistical, nonlinear, and…
- 2008

We study annual logarithmic growth rates R of various economic variables such as exports, imports, and foreign debt. For each of these variables we find that the distributions of R can be approximated by double exponential (Laplace) distributions in the central parts and power-law distributions in the tails. For each of these variables we further find a… (More)

- Boris Podobnik, Aljoša Valentinčič, Davor Horvatić, H Eugene Stanley
- Proceedings of the National Academy of Sciences…
- 2011

Because financial crises are characterized by dangerous rare events that occur more frequently than those predicted by models with finite variances, we investigate the underlying stochastic process generating these events. In the 1960s Mandelbrot [Mandelbrot B (1963) J Bus 36:394-419] and Fama [Fama EF (1965) J Bus 38:34-105] proposed a symmetric Lévy… (More)