Japan's main stock market index, the JP225, fell to 40800 points on August 1, 2025, losing 0.66% from the previous session. Over the past month, the index has climbed 2.61% and is up 13.62% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on August of 2025.

Graph and download economic data for Nikkei Stock Average, Nikkei 225 (NIKKEI225) from 1949-05-16 to 2025-07-31 about stocks, stock market, Japan, and indexes.

The USD/JPY exchange rate fell to 147.2680 on August 1, 2025, down 2.35% from the previous session. Over the past month, the Japanese Yen has weakened 2.61%, and is down by 0.53% over the last 12 months. Japanese Yen - values, historical data, forecasts and news - updated on August of 2025.

We performed a comprehensive time series segmentation study on the 36 Nikkei Jap anese industry indices from 1 January 1996 to 11 June 2010. From the temporal distributions of the clustered segments, we found that the Japanese economy never fully recovered from the extended 1997–2003 crisis, and responded to the most recent global financial crisis in five stages. Of these, the second and main stage affecting 21 industries lasted only 27 days, in contrast to the two-and-a-half-years across-the-board recovery from the 1997–2003 financial crisis. We constructed the minimum spanning trees (MSTs) to visualize the Pearson cross correlations between Japanese industries over five macroeconomic periods: (i) 1997–1999 (Asian Financial Crisis), (ii) 2000–2002 (Technology Bubble Crisis), (iii) 2003–2006 (economic growth), (iv) 2007–2008 (Subprime Crisis), and (iv) 2008–2010 (Lehman Brothers Crisis). In these MSTs, the Chemicals and Electric Machinery industries are consistently hubs. Finally, we present evidence from the segment-to-segment MSTs for flights to quality within the Japanese stock market.

Using all stocks listed on the Japanese equity market and macroeconomic data for Japan, the dataset comprises the following series:

1. Japan_25_Portfolios_MV_PTBV: Monthly returns for 25 size-book-to-market equity portfolios, following the Fama and French (1993) methodology. (Raw data source: Datastream database)
2. Japan_25_Portfolios_MV_PE: Monthly returns for 25 size-PE portfolios, following the Fama and French (1993) methodology. (Raw data source: Datastream database)
3. Japan_50_Portfolios_SECTOR: Monthly returns for 50 industry portfolios. (Raw data source: Datastream database)
4. Japan_3 Factors: Fama and French three-factors (RM, SMB and HML), following the Fama and French (1993) methodology. (Raw data source: Datastream database)
5. Japan_5 Factors: Fama and French five-factors (RM, SMB, HML, RMW, and CMA), following the Fama and French (2015) methodology. (Raw data source: Datastream database)
6. Japan_NUCLEAR_Y: Instrument in years with a value of 1 when a nuclear disaster has occurred somewhere in the world and 0 otherwise. (Raw data source: Bloomberg and BBC News)
7. Japan_NUCLEAR_M: Instrument in months with a value of 1 when a nuclear disaster has occurred somewhere in the world and 0 otherwise. (Raw data source: Bloomberg and BBC News)
8. Japan_RF_M: Three-month interest rate of the Treasury Bill for Japan. (Raw data source: OECD)
9. Company data: Names and general data of the companies that constitute the sample. (Raw data source: Datastream database)
10. Number of stocks in portfolios: Number of stocks included each year in Japan_25_Portfolios_MV_PTBV, Japan_25_Portfolios_MV_PE and Japan_50_Portfolios_SECTOR. (Raw data source: Datastream database)

We have produced all return series using the following data from Datastream: (i) total return index (RI series), (ii) market value (MV series), (iii) market-to-book equity (PTBV series), (iv) total assets (WC02999 series), (v) return on equity (WC08301 series), (vi) price-to-earnings ratio (PE series), and (vii) industry (SECTOR series). We have used the generic rules suggested by Griffin, Kelly, & Nardari (2010) for excluding non-common equity securities from Datastream data. We also exclude stocks with less than twelve observations. Accordingly, our sample comprises a total number of 5,212 stocks.

REFERENCES:

Fama, E. F. and French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33, 3–56. Fama, E. F. and French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116, 1–22. Griffin, J. M., Kelly, P., and Nardari, F. (2010). Do market efficiency measures yield correct inferences? A comparison of developed and emerging markets. Review of Financial Studies, 23, 3225–3277.

MAGWOC-16 has a distinguished career in financial supervision and has worked extensively on the issue of bank insolvency resolution. We discussed insolvency resolution, as well as the wider developments in the Japanese banking system and supervisory setup. The Financial Elite Policymakers Interviewed (FINEPINT) database consists of interviews with financial policymakers from advanced economies and emerging markets. The interviews touch upon both national-level regulatory developments and global-level policymaking processes, as well as the interactions between the two. Interviewees are officials from Ministries, Central Banks and Financial Supervisors, representatives of banking and financial associations, representatives of Civil Society Organizations, and officials from International Organizations working on global financial governance.The semi-structured interviews followed a standard format in which policymakers were asked about:1. The development of their negotiating positions, asking who is involved internally, how the positions are informed by external actors, and who are the main partners in the policymaking process.2. The developments in policymaking processes, asking what were the main drivers of new issues emerging on the agenda, what issues came up in policymaking processes, and who is influential in the policymaking processes.3. The outcomes, asking how the main issues in policymaking processes were resolved and what the expected impacts of new policies will be.Interviews were conducted from 1992 onwards, covering a period of profound changes in the global financial system and its governance. Broad topics that were the focal points of different waves of interviews were the interaction between public and private actors in global policymaking, the political economy of financial liberalization, the internationalization / globalization of financial markets and the regulatory response to this, the Basel Capital Accords, the resolution of sovereign debt crisis, and sustainable finance.Interviewees have been provided with the following options for the use of the transcript:• Quotation: direct quotes from the interview may be used and attributed in the reference.• Referencing, no quotation: interview may be refenced by name as support for a claim, but no direct quotes may be used.• No quotation or referencing: the interview may not be quoted or referenced by name.The principal investigators of the projects included in this database are prof. G.R.D. Underhill and dr. J. Blom. Data collection and development of this dataset has been made possible by:• NWO MaGW Open Competition grant ‘Public-private interaction and shifting patterns of governance’ (grant no. 400-04-233, prof. G.R.D. Underhill)• UKRI ESRC World Economy and Finance program grant ‘National and International Aspects of Financial Development’ (grant no. RES-156-25-0009).• EU Horizon 2020 Research and Innovation program, Marie Sklodowska-Curie Individual Fellowship grant ‘G20LAP: G20 Legitimacy and Policymaking’ (grant agreement no. 845121, dr. J. Blom).

This Dataset contains Daily Exchange Rate of the Indian Rupee vis-a-vis US Dollar, Pound Sterling, Euro, Japanese Yen Notes: 1) The exchange rate for Japanese Yen is in Rupees per 100 Yen. 2) Data based on RBI Reference Rate. 3) Financial Benchmarks India Private Limited (FBIL) commenced dissemination of reference rates w.e.f July 10, 2018.

Financial prices fluctuate as a results of the market impact of the flow of transactions between traders. Reciprocally, several studies of market microstructure have shown how decisions of individual traders or banks, implemented in their trading strategies, are affected by historical market information. However, little is known about the detailed processes of how such trading strategies at the micro level recursively affect future market information at the macro level. Using a special fined-grained dataset that allows us to track the complete trading behavior of specific banks in a U.S. dollar (USD) versus Japanese yen (JPY) market, we find that position management methods, defined as the number of units of USD bought or sold by banks against JPY, can be classified into two strategies: (1) banks increase their positions by trading in the same direction repeatedly, or (2) banks attempt to reduce their inventories by rapidly shifting their positions toward zero. We then demonstrate that their systematic position management strategies strongly influence future market prices, as demonstrated by our ability using this information to predict market prices about fifteen minutes in advance. Further, by detecting outlier trades, we reveal that traders seem to switch their strategies when they become aware of outlier trades. The evidence obtained here suggests that positions, which are a consequence of historical trading decisions based on the position management strategies of each bank, strongly influence future market prices, and we unravel how market prices at the macro level evolve through an interactive process involving the interaction between well-defined trading strategies at the micro level.

Rice fell to 12.28 USD/cwt on August 1, 2025, down 0.04% from the previous day. Over the past month, Rice's price has fallen 2.70%, and is down 17.83% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Rice - values, historical data, forecasts and news - updated on August of 2025.