References for Journalarticle 2012-5

Please note: the authoritative source for references in this article is the according PDF file.

Number of references: 138

Amyx, J.A. (2004). Japan's financial crisis: Institutional rigidity and reluctant change. Princeton University Press.

Andrews, D.W.K. (2005). Cross-section regression with common shocks. Econometrica, 73(5):1551–1585. http://ideas.repec.org/a/ecm/emetrp/v73y2005i5p1551-1585.html

Bai, J. (1994). Least squares estimation of a shift in linear processes. Journal of Time Series Analysis, 15(5):453–472. http://onlinelibrary.wiley.com/doi/10.1111/j.1467-9892.1994.tb00204.x/abstract

Bai, J. (1995). Least absolute deviation estimation of a shift. Econometric Theory, 11(3):403–436. http://econpapers.repec.org/article/cupetheor/v_3a11_3ay_3a1995_3ai_3a03_3ap_3a403-436_5f00.htm

Bai, J. (1997). Estimation of a change point in multiple regression models. The Review of Economics and Statistics, 79(4):551–563. http://ideas.repec.org/a/tpr/restat/v79y1997i4p551-563.html

Bai, J., Lumsdaine, R.L., and Stock, J. (1998). Testing for and dating common breaks in multivariate time series. Review of Economic Studies, 65(3):395–432. http://ideas.repec.org/a/bla/restud/v65y1998i3p395-432.html

Bai, J., and Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1):47–78. http://ideas.repec.org/a/ecm/emetrp/v66y1998i1p47-78.html

Bai, J., and Perron, P. (2003). Computation and analysis of multiple structural change models. Journal of Applied Econometrics, 18(1):1–21. http://ideas.repec.org/a/jae/japmet/v18y2003i1p1-22.html

Bai, J. (2009). Panel data models with interactive fixed effects. Econometrica, 77(4):1229–1279. http://ideas.repec.org/a/ecm/emetrp/v77y2009i4p1229-1279.html

Bai, J., and Carrion-i-Silvestre, J.L. (2009). Structural changes, common stochastic trends, and unit roots in panel data. Review of Economic Studies, 76(2):471–501. http://ideas.repec.org/a/bla/restud/v76y2009i2p471-501.html

Baker, F.B. (1972). Numerical taxonomy for educational researchers. Review of Educational Research, 42(3):345–358. http://rer.sagepub.com/content/42/3/345.full.pdf

Baker, F.B. (1974). Stability of two hierarchical grouping techniques case 1: Sensitivity to data errors. Journal of the American Statistical Association, 69(346):440–445. http://www.jstor.org/stable/2285675

Barberis, N., Shleifer, A., and Wurgler, J. (2005). Comovement. Journal of Financial Economics, 75(2):283–317. http://ideas.repec.org/a/eee/jfinec/v75y2005i2p283-317.html

Barndorff-Nielsen, O.E., and Shepard, N. (2006). Econometrics of testing for jumps in financial economics using bipower variation. Journal of Financial Econometrics, 4(1):1–30. http://ideas.repec.org/a/oup/jfinec/v4y2006i1p1-30.html

Baur, D.G., and Lucey, B.M. (2009). Flights and contagion — An empirical analysis of stock-bond correlations. Journal of Financial Stability, 5(4):339–352. http://ideas.repec.org/a/eee/finsta/v5y2009i4p339-352.html

Baur, D.G., and Lucey, B.M. (2010). Is gold a hedge or a safe haven? An analysis of stocks, bonds, and gold. The Financial Review, 45(2):217–229. http://ideas.repec.org/a/bla/finrev/v45y2010i2p217-229.html

Baxter, M., and Kouparitsas, M.A. (2005). Determinants of business cycle comovement: A robust analysis. Journal of Monetary Economics, 52(1):113–157. http://ideas.repec.org/a/eee/moneco/v52y2005i1p113-157.html

Bayoumi, T. (2001). The morning after: explaining the slowdown in Japanese growth in the 1990s. Journal of International Economics, 53(2):241–259. http://ideas.repec.org/a/eee/inecon/v53y2001i2p241-259.html

Bernaola-Galván, P., Román-Roldán, R., and Oliver, J.L. (1996). Compositional segmentation and long-range fractal correlations in DNA sequences. Physical Review E, 53(5):5181–5189. http://linkage.rockefeller.edu/wli/moved.8.04/dna_corr/bernaola96.pdf

Bigsten, A. (2005). Can Japan make a comeback? The World Economy, 28(4):595–606. http://ideas.repec.org/a/bla/worlde/v28y2005i4p595-606.html

Boginski, V., Butenko, S., and Pardalos, P.M. (2005). Statistical analysis of financial networks. Computational Statistics & Data Analysis, 48(2):431–443. http://ideas.repec.org/a/eee/csdana/v48y2005i2p431-443.html

Bollerslev, T., Law, T.H., and Tauchen, G. (2008). Risk, jumps, and diversification. Journal of Econometrics, 144(1):234–256. http://ideas.repec.org/a/eee/econom/v144y2008i1p234-256.html

Bonanno, G., Vandewalle, N., and Mantegna, R.N. (2000). Taxonomy of stock market indices. Physical Review E, 62(6):R7615–R7618. http://econpapers.repec.org/paper/arxpapers/cond-mat_2f0001268.htm

Bonanno, G., Caldarelli, G., Lillo, F., and Mantegna, R.N. (2003). Topology of correlation-based minimal spanning trees in real and model markets. Physical Review E, 68(4):046130. http://link.aps.org/doi/10.1103/PhysRevE.68.046130

Bonanno, G., Caldarelli, G., Lillo, F., Miccichè, S., Vandewalle, N., and Mantegna, R.N. (2004). Networks of equities in financial markets. The European Physical Journal B, 38(2):363–371. http://www.springerlink.com/content/9v2k3000052etkr3/

Borghesi, C., Marsili, M., and Miccichè, S. (2007). Emergence of time-horizon invariant correlation structure in financial returns by subtraction of the market mode. Physical Review E, 76(2):026104. http://ideas.repec.org/p/arx/papers/physics-0702106.html

Brida, J.G., and Risso, W.A. (2007). Dynamics and structure of the main Italian companies. International Journal of Modern Physics C, 18(11):1783–1793. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1016048

Brida, J.G., and Risso, W.A. (2008). Multidimensional minimal spanning tree: The Dow Jones case. Physica A, 387(21):5205–5210. http://www.sciencedirect.com/science/article/pii/S0378437108004299

Brida, J., and Risso, W. (2010). Dynamics and structure of the 30 largest North American companies. Computational Economics, 35(1):85–99. http://ideas.repec.org/a/kap/compec/v35y2010i1p85-99.html

Canova, F., and Marrinan, J. (1998). Sources and propagation of international output cycles: Common shocks or transmission? Journal of International Economics, 46(1):133–166. http://ideas.repec.org/a/eee/inecon/v46y1998i1p133-166.html

Carrion-i-Silvestre, J.L., Barrio-Castro, T., and López-Bazo, E. (2005). Breaking the panels: An application to the GDP per capita. Econometrics Journal, 8(2):159–175. http://ideas.repec.org/a/ect/emjrnl/v8y2005i2p159-175.html

Carrion-i-Silvestre, J.L., Kim, D., and Perron, P. (2009). GLS-based unit root tests with multiple structural breaks under both the null and the alternative hypotheses. Econometric Theory, 25(6):1754–1792. http://ideas.repec.org/a/cup/etheor/v25y2009i06p1754-1792_99.html

Cheong, S.-A., Stodghill, P., Schneider, D.J., Cartinhour, S.W., and Myers, C.R. (2009). Extending the recursive Jensen–Shannon segmentation of biological sequences. Unpublished. http://arxiv.org/PS_cache/arxiv/pdf/0904/0904.2466v1.pdf

Cheong, S.-A., Stodghill, P., Schneider, D.J., Cartinhour, S.W., and Myers, C. (2009). The context sensitivity problem in biological sequence segmentation. Unpublished. http://arxiv.org/abs/0904.2668

Cheung, W., Fung, S., and Tsai, S.-C. (2010). Global capital market interdependence and spillover effect of credit risk: evidence from the 2007-2009 global financial crisis. Applied Financial Economics, 20(1):85–103. http://ideas.repec.org/a/taf/apfiec/v20y2010i1-2p85-103.html

Chong, T.T.-L. (1995). Partial parameter consistency in a misspecified structural change model. Economics Letters, 49(4):351–357. http://ideas.repec.org/a/eee/ecolet/v49y1995i4p351-357.html

Chong, T.T.-L. (2001). Structural change in AR(1) models. Econometric Theory, 17(1):87–155. http://ideas.repec.org/a/cup/etheor/v17y2001i01p87-155_17.html

Coelho, R., Gilmore, C.G., Lucey, B., Richmond, P., and Hutzler, S. (2007). The evolution of interdependence in world equity markets — Evidence from minimum spanning trees. Physica A, 376:455–466. http://arxiv.org/abs/physics/0607022

Coelho, R., Hutzler, S., Repetowicz, P., and Richmond, P. (2007). Sector analysis for a FTSE portfolio of stocks. Physica A, 373:615–626. http://arxiv.org/abs/physics/0601189

Connolly, R., Stivers, C., and Sun, L. (2005). Stock market uncertainty and the stock-bond return relation. Journal of Financial and Quantitative Analysis, 40(1):161–194. http://www.jstor.org/stable/27647190

Connolly, R., Stivers, C., and Sun, L. (2007). Commonality in the time-variation of stock-stock and stock-bond return comovements. Journal of Financial Markets, 10(2):192–218. http://ideas.repec.org/a/eee/finmar/v10y2007i2p192-218.html

Croux, C., Forni, M., and Reichlin, L. (2001). A measure of comovement for economic variables: Theory and empirics. Review of Economics and Statistics, 83(2):232–241. http://ideas.repec.org/a/tpr/restat/v83y2001i2p232-241.html

Cukur, S., Eryigit, M., and Eryiɡit, R. (2007). Cross correlations in an emerging market financial data. Physica A, 376:555–564. http://www.mendeley.com/research/darboux-theorems-and-wronskian-formulas-for-integrable-systems-i-constrained-kp-flows/

Duch, J., and Arenas, A. (2005). Community detection in complex networks using extremal optimization. Physical Review E, 72(2):027104.

Eng, L.C.F. (Apr 2010). Financial Time Series Segmentation Based on Lévy Stable Distributions. Master thesis, Nanyang Technological University.

Eom, C., Oh, G., Jung, W.-S., Jeong, H., and Kim, S. (2009). Topological properties of stock networks based on minimal spanning tree and random matrix theory in financial time series. Physica A, 388:900–906. http://www.sciencedirect.com/science/article/pii/S0378437108009862

Eryiɡit, M., and Eryiɡit, R. (2009). Network structure of cross-correlations among the world market indices. Physica A, 388:3551–3562. http://dkydros.files.wordpress.com/2010/02/turkey-pmfg.pdf

Fama, E., and Roll, R. (1971). Parameter estimates for symmetric stable distributions. Journal of the American Statistical Association, 66(334):331–338. http://www.jstor.org/stable/2283932

Faruqee, H., and Mühleisen, M. (2003). Population aging in Japan: demographic shock and fiscal sustainability. Japan and the World Economy, 15(2):185–210. http://ideas.repec.org/a/eee/japwor/v15y2003i2p185-210.html

Forbes, K.J., and Rigobon, R. (2002). No contagion, only interdependence: Measuring stock market comovements. Journal of Finance, 57(5):2223–2261. http://web.mit.edu/kjforbes/www/Papers/NoContagion-JOF.pdf

Fortunato, S. (2010). Community detection in graphs. Physics Reports, 486(3–5):75–174. http://arxiv.org/PS_cache/arxiv/pdf/0906/0906.0612v2.pdf

Fox News (2010). Japan's prime minister survives leadership vote, now must revive sputtering economy. No source specified http://www.foxnews.com/world/2010/09/14/japan-pm-faces-powerful-challenger-leadership-vote-country-new-leader/

Gilmore, C.G., Lucey, B.M., and Boscia, M. (2008). An ever-closer union? Examining the evolution of linkages of European equity markets via minimum spanning trees. Physica A, 387:6319–6329.

Girvan, M., and Newman, M.E.J. (2002). Community structure in social and biological networks. Proceedings of the National Academy of Sciences of the United States of America, 99(12):7821–7826. http://www.santafe.edu/media/workingpapers/01-12-077.pdf

Gligor, M., and Ausloos, M. (2007). Cluster structure of EU-15 countries derived from the correlation matrix analysis of macroeconomic index fluctuations. The European Physical Journal B, 57:139–146. http://arxiv.org/abs/physics/0607098

Goldfeld, S.M., and Quandt, R.E. (1973). A Markov model for switching regressions. Journal of Econometrics, 1(1):3–15. http://ideas.repec.org/a/eee/econom/v1y1973i1p3-15.html

Gower, J.C., and Ross, G.J.S. (1969). Minimum spanning trees and single linkage cluster analysis. Journal of the Royal Statistical Society Series C, 18(1):54–64. http://www.jstor.org/stable/2346439

Guo, W., and Wohar, M.E. (2006). Identifying regime changes in market volatility. Journal of Financial Research, 29(1):79–93. http://ideas.repec.org/a/bla/jfnres/v29y2006i1p79-93.html

Hamilton, J.D. (1989). A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica, 57(2):357–384. http://ideas.repec.org/a/ecm/emetrp/v57y1989i2p357-84.html

Hansen, B.E. (2001). The new econometrics of structural change: Dating breaks in U.S. labor productivity. The Journal of Economic Perspectives, 15(4):117–128. http://www.uibk.ac.at/econometrics/dl/jep01fall/09_structchange.pdf

Hayashi, F., and Prescott, E.C. (2002). The 1990s in Japan: A lost decade. Review of Economic Dynamics, 5(1):206–235. http://ideas.repec.org/a/red/issued/v5y2002i1p206-235.html

Hill, B.M. (1975). A simple general approach to inference about the tail of a distribution. The Annals of Statistics, 3(5):1163–1174. http://www.nslij-genetics.org/wli/zipf/hill75-as.pdf

Hill, R.J. (1999). Comparing price levels across countries using minimum-spanning trees. The Review of Economics and Statistics, 81(1):135–142. http://www.jstor.org/stable/2646792

Hill, R.J. (2001). Measuring inflation and growth using spanning trees. International Economic Review, 42(1):167–185. http://ideas.repec.org/a/ier/iecrev/v42y2001i1p167-85.html

Hoshi, T., and Kashyap, A.K. (2004). Japan's financial crisis and economic stagnation. The Journal of Economic Perspectives, 18(1):3–26. http://pzacad.pitzer.edu/~lyamane/hoshi1.pdf

Iida, Y., and Matsumae, T. (2009). The dynamic effects of Japanese macroeconomic policies: Were there any changes in the 1990s? Economic and Social Research Institute. http://www.esri.go.jp/jp/archive/e_dis/e_dis210/e_dis209a.pdf

Im, K.-S., Lee, J., and Tieslau, M. (2005). Panel LM unit-root tests with level shifts. Oxford Bulletin of Economics and Statistics, 67(3):393–419. http://econpapers.repec.org/article/blaobuest/v_3a67_3ay_3a2005_3ai_3a3_3ap_3a393-419.htm

Jacod, J., and Todorov, V. (2009). Testing for common arrivals of jumps for discretely observed multidimensional processes. Annals of Statistics, 37(4):1792–1838. http://www.kellogg.northwestern.edu/faculty/todorov/htm/papers/jt.pdf

Jain, A., Murty, M., and Flynn, P. (1999). Data clustering: A review. ACM Computing Surveys, 31(3):264–323. http://doi.acm.org/10.1145/331499.331504

Johnson, S.C. (1967). Hierarchical clustering schemes. Psychometrika, 32(3):241–254. http://ideas.repec.org/a/spr/psycho/v32y1967i3p241-254.html

Jung, W.-S., Chae, S., Yang, J.-S., and Moon, H.-T. (2006). Characteristics of the Korean stock market correlations. Physica A, 361:263–271. http://arxiv.org/abs/physics/0504009

Jung, W.-S., Kwon, O., Wang, F., Kaizoji, T., Moon, H.-T., and Stanley, H.E. (2008). Group dynamics of the Japanese market. Physica A, 387:537–542. http://ideas.repec.org/p/arx/papers/0708.0562.html

Karolyi, G.A., and Stulz, R.M. (1996). Why do markets move together? An investigation of U.S.–Japan stock return comovements. Journal of Finance, 51(3):951–986. http://ideas.repec.org/a/bla/jfinan/v51y1996i3p951-86.html

Kim, C.-J., and Nelson, C.R. (1999). Has the U.S. economy become more stable? A Bayesian approach based on a Markov-switching model of business cycle. Review of Economics and Statistics, 81(4):608–616. http://ideas.repec.org/a/tpr/restat/v81y1999i4p608-616.html

Kim, D. (2009). Estimating a common deterministic time trend break in large panels with cross sectional dependence. University of Virginia, Charlottesville. http://www.columbia.edu/~ao2027/Dukpa.pdf

Koutrouvelis, I.A. (1980). Regression-type estimation of the parameters of stable laws. Journal of the American Statistical Association, 75(372):918–928. http://www.jstor.org/stable/2287182

Koutrouvelis, I. (1981). An iterative procedure for the estimation of the parameters of stable laws. Communications in Statistics — Simulation and Computation, 10(1):17–28. http://www.tandfonline.com/doi/abs/10.1080/03610918108812189

Kruskal, J.B. (1956). On the shortest spanning subtree of a graph and the traveling salesman problem. Proceedings of the American Mathematical Society, 7(1):48–50. http://www.jstor.org/stable/2033241

Kulkarni, V., and Deo, N. (2007). Correlation and volatility in an Indian stock market: A random matrix approach. The European Physical Journal B, 60:101–109. http://www.springerlink.com/content/38m04076514r4051/

Kurihara, J. (2007). Demystifying Japan's Economic Recovery. Business Economics, 42(3):29–35. http://econpapers.repec.org/article/palbuseco/v_3a42_3ay_3a2007_3ai_3a3_3ap_3a29-35.htm

Laloux, L., Cizeau, P., Bouchaud, J.-P., and Potters, M. (1999). Noise dressing of financial correlation matrices. Physical Review Letters, 83(7):1467–1470. http://arxiv.org/abs/cond-mat/9810255

Lancichinetti, A., and Fortunato, S. (2009). Community detection algorithms: A comparative analysis. Physical Review E, 80(5):056117. http://arxiv.org/abs/0908.1062

Lavielle, M., and Moulines, E. (2000). Least-squares estimation of an unknown number of shifts in a time series. Journal of Time Series Analysis, 21(1):33–59. http://onlinelibrary.wiley.com/doi/10.1111/1467-9892.00172/pdf

Lee, G.H.T., Zhang, Y., Wong, J.C., Prusty, M., and Cheong, S.A. (25 Nov 2009). Causal links in US economic sectors. Unpublished. http://arxiv.org/abs/0911.4763

Li, W. (2001). New stopping criteria for segmenting DNA sequences. Physical Review Letters, 86(25):5815–5818. http://arxiv.org/abs/physics/0104027

Li, W. (2001). DNA segmentation as a model selection process. In: Proceedings of the International Conference on Research in Computational Molecular Biology (RECOMB), pp. 204–210. http://arxiv.org/abs/physics/0104026

Lin, J. (1991). Divergence measures based on the Shannon entropy. IEEE Transactions on Information Theory, 37(1):145–151. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=61115&userType=inst

Lo, A.W. (2009). Regulatory reform in the wake of the financial crisis of 2007–2008. Journal of Financial Economic Policy, 1(1):4–43. http://ideas.repec.org/a/eme/jfeppp/v1y2009i1p4-43.html

Loader, C.R. (1996). Change point estimation using nonparametric regression. Annals of Statistics, 24(4):1667–1678. http://www.jstor.org/stable/2242744

Lumsdaine, R.L., and Papell, D.H. (1997). Multiple trend breaks and the unit-root hypothesis. Review of Economics and Statistics, 79(2):212–218. http://www.jstor.org/stable/2951453

MacKellar, L. (2004). Economic impacts of population aging in Japan. Edward Elgar Publishing, Cheltenham.

Mantegna, R.N., and Stanley, H.E. (1995). Scaling behaviour in the dynamics of an economic index. Nature, 376:46–49. http://www.nature.com/nature/journal/v376/n6535/abs/376046a0.html

Mantegna, R.N. (1999). Hierarchical structure in financial markets. The European Physical Journal B, 11:193–197. http://arxiv.org/abs/cond-mat/9802256

Marshall, A. (1920). Principles of Economics. London: Macmillan, 8 ed. http://www.econlib.org/library/Marshall/marPtoc.html

Matteo, T., and Aste, T. (12 Dec 2005). Extracting the correlation structure by means of planar embedding. In: Proceedings of the SPIE Conference on Complex Systems, vol. 6039, pp. 227–236. http://people.physics.anu.edu.au/~tdm110/Articoli_web/My%20articles/2006/SPIEDiMatteo_1.pdf

McCulloch, J.H. (1986). Simple consistent estimators of stable distribution parameters. Communications in Statistics — Simulation and Computation, 15(4):1109–1136. http://dx.doi.org/10.1080/03610918608812563

McCulloch, J.H., and Panton, D.B. (1997). Precise tabulation of the maximally-skewed stable distributions and densities. Computational Statistics & Data Analysis, 23(3):307–320. http://ideas.repec.org/a/eee/csdana/v23y1997i3p307-320.html

Miccichè, S., Bonanno, G., Lillo, F., and Mantegna, R.N. (2003). Degree stability of a minimum spanning tree of price return and volatility. Physica A, 324:66–73. http://econpapers.repec.org/paper/arxpapers/cond-mat_2f0212338.htm

Miśkiewicz, J., and Ausloos, M. (2006). An attempt to observe economy globalization: The cross correlation distance evolution of the top 19 GDPs. International Journal of Modern Physics C, 17(3):317–331. http://arxiv.org/abs/physics/0509165

Münnix, M.C., Schäfer, R., and Grothe, O. (30 Jun 2010). Estimating correlation and covariance matrices by weighting of market similarity. Unpublished. http://arxiv.org/abs/1006.5847

Newman, M.E.J. (2004). Detecting community structure in networks. The European Physical Journal B, 38(2):321–330. http://www-personal.umich.edu/~mejn/papers/epjb.pdf

Newman, M.E.J. (2006). Modularity and community structure in networks. Proceedings of the National Academy of Sciences of the United States of America, 103(23):8577–8582. http://www.mendeley.com/research/modularity-community-structure-networks-56/

Nolan, J.P. (1997). Numerical calculation of stable densities and distribution functions. Stochastic Models, 13(4):759–774.

Nolan, J.P. (1998). Parameterizations and modes of stable distributions. Statistics & Probability Letters, 38(2):187–195. http://ideas.repec.org/a/eee/stapro/v38y1998i2p187-195.html

Nolan, J.P. (1999). An algorithm for evaluating stable densities in Zolotarev's (𝞛) parameterization. Mathematical and Computer Modelling, 29(10–12):229–233. http://www.sciencedirect.com/science/article/pii/S0895717799001053

Nolan, J.P. (2001). Maximum likelihood estimation and diagnostics for stable distributions Lévy Processes Theory and Applications. In: Lévy Processes Theory and Applications, ed. by O.E. Barndorff-Nielsen, T. Mikosch and S. Resnick, pp. 379–400, Boston, Birkhäuser. http://academic2.american.edu/~jpnolan/stable/mle.pdf

Onnela, J.-P., Chakraborti, A., Kaski, K., and Kertész, J. (2003). Dynamic asset trees and Black Monday. Physica A, 324:247–252. http://arxiv.org/abs/cond-mat/0212037

Onnela, J.-P., Chakraborti, A., Kaski, K., Kertész, J., and Kanto, A. (2003). Dynamics of market correlations: Taxonomy and portfolio analysis. Physical Review E, 68(5):056110. http://lib.tkk.fi/Diss/2006/isbn9512282704/article4.pdf

Onnela, J.-P., Chakraborti, A., Kaski, K., Kertész, J., and Kanto, A. (2003). Asset trees and asset graphs in financial markets. Physica Scripta, T106:48–54. http://lib.tkk.fi/Diss/2006/isbn9512282704/article3.pdf

Onnela, J.-P., Kaski, K., and Kertész, J. (2004). Clustering and information in correlation based financial networks. The European Physical Journal B, 38:353–362. http://lib.tkk.fi/Diss/2006/isbn9512282704/article5.pdf

Panton, D., Lessig, V., and Joy, O. (1976). Comovement of international equity markets: A taxonomic approach. Journal of Financial and Quantitative Analysis, 11(3):415–432. http://ideas.repec.org/a/cup/jfinqa/v11y1976i03p415-432_02.html

Panton, D.B. (1992). Cumulative distribution function values for symmetric standardized stable distributions. Communications in Statistics — Simulation and Computation, 21(2):485–492.

Perron, P., and Zhu, X. (2005). Structural breaks with deterministic and stochastic trends. Journal of Econometrics, 129(1–2):65–119. http://ideas.repec.org/a/eee/econom/v129y2005i1-2p65-119.html

Plerou, V., Gopikrishnan, P., Rosenow, B., Amaral, L.A.N., Guhr, T., and Stanley, H.E. (2002). Random matrix approach to cross correlations in financial data. Physical Review E, 65(6):066126. http://polymer.bu.edu/hes/articles/pgrags02.pdf

Posen, A.S. (1998). Restoring Japan's economic growth. Petersen Institute, Washington, DC.

Reichardt, J., and Bornholdt, S. (2006). Statistical mechanics of community detection. Physical Review E, 74(1):016110. http://pre.aps.org/abstract/PRE/v74/i1/e016110

Reuters (2010). IMF urges tax increase to tackle Japan debt. No source specified http://www.reuters.com/article/2010/07/14/imf-japan-idUSNLLEIE69620100714

Rigobon, R. (2003). On the measurement of the international propagation of shocks: Is the transmission stable? Journal of International Economics, 61(2):261–283. http://ideas.repec.org/a/eee/inecon/v61y2003i2p261-283.html

Román-Roldán, R., Bernaola-Galván, P., and Oliver, J.L. (1998). Sequence compositional complexity of DNA through an entropic segmentation method. Physical Review Letters, 80(6):1344–1347. http://www.nslij-genetics.org/dnacorr/roman98.pdf

Shen, J., and Zheng, B. (2009). Cross-correlation in financial dynamics. Europhysics Letters, 86:1–6. http://iopscience.iop.org/0295-5075/86/4/48005

Sneath, P. (1957). The application of computers to taxonomy. Journal of General Microbiology, 17:201–226. http://www.ncbi.nlm.nih.gov/pubmed/13475686

Stockman, A.C., and Tesar, L.L. (1995). Tastes and technology in a two-country model of the business cycle: Explaining international comovement. The American Economic Review, 85(1):168–185. http://ideas.repec.org/a/aea/aecrev/v85y1995i1p168-85.html

Today (2011). New faces to revive Japan's economy. No source specified http://www.todayonline.com/World/EDC110115-0000209/New-faces-to-revive-Japans-economy

Tudor, C. (2009). Understanding the roots of the US Subprime Crisis and its subsequent effects. The Romanian Economic Journal, 31:115–148. http://www.rejournal.eu/Portals/0/Arhiva/JE%2031/JE%2031%20-%20Cristiana%20TUDOR.pdf

Tumminello, M., Matteo, T., Aste, T., and Mantegna, R.N. (2007). Correlation based networks of equity returns sampled at different time horizons. The European Physical Journal B, 55:209–217. http://people.physics.anu.edu.au/~tas110/Pubblicazioni/EPJB_CorrReturn07.pdf

Tóth, B., Lillo, F., and Farmer, J.D. (2010). Segmentation algorithm for non-stationary compound Poisson processes. The European Physical Journal B - Condensed Matter and Complex Systems, 78(2):235–243. http://tuvalu.santafe.edu/~jdf/papers/SegmentationAlgorithm.pdf

Utsugi, A., Ino, K., and Oshikawa, M. (2004). Random matrix theory analysis of cross correlations in financial markets. Physical Review E, 70(2):026110. http://arxiv.org/abs/cond-mat/0312643

Vaglica, G., Lillo, F., Moro, E., and Mantegna, R.N. (2008). Scaling laws of strategic behavior and size heterogeneity in agent dynamics. Physical Review E, 77(3):1–6. http://pre.aps.org/abstract/PRE/v77/i3/e036110

Wall Street Journal (2009). Japanese reform gets lost in the mail. No source specified http://online.wsj.com/article/SB10001424052748703363704574502651479212142.html

Wilcox, D., and Gebbie, T. (2007). An analysis of cross-correlations in an emerging market. Physica A, 375:584–598.

Wong, J.C., Lian, H., and Cheong, S.A. (2009). Detecting macroeconomic phases in the Dow Jones Industrial Average time series. Physica A, 388(21):4635–4645. http://dr.ntu.edu.sg/handle/10220/6107

Wong, D.K.T., and Li, K.-W. (2010). Comparing the performance of relative stock return differential and real exchange rate in two financial crises. Applied Financial Economics, 20(1):137–150. http://ideas.repec.org/a/taf/apfiec/v20y2010i1-2p137-150.html

Worsdale, G.J. (1975). Tables of cumulative distribution functions for symmetric stable distributions. Journal of the Royal Statistical Society Series C (Applied Statistics), 24(1):123–131. http://www.jstor.org/stable/2346710

Yim, W.S. (Nov 2010). Between Japanese economic sectors. Master thesis, Nanyang Technological University.

Yoshino, N., and Mizoguchi, T. (2010). The role of public works in the political business cycle and the instability of the budget deficits in Japan. Asian Economic Papers, 9(1):94–112. http://econpapers.repec.org/article/tprasiaec/v_3a9_3ay_3a2010_3ai_3a1_3ap_3a94-112.htm

Zhang, Y., Lee, G.H.T., Wong, J.C., Kok, J.L., Prusty, M., and Cheong, S.A. (2011). Will the US economy recover in 2010? A minimal spanning tree study. Physica A, 390(11):2020–2050. http://www.sciencedirect.com/science/article/pii/S0378437111000847

Zivot, E., and Andrews, D.W.K. (2002). Further evidence on the Great Crash, the oil-price shock, and the unit-root hypothesis. Journal of Business and Economic Statistics, 20(1):25–44. http://ideas.repec.org/a/bes/jnlbes/v20y2002i1p25-44.html

Zolotarev, V.M. (1986). One-dimensional stable distributions. American Mathematical Society, Providence.