In the fiscal year 2023, the return on equity (ROE) of securities companies in Japan increased to about *** percent. Fiscal 2014 marked a peak during the surveyed period, with securities firms' return on equity reaching around **** percent.

TSE: Listed Companies' Return on Equity (ROE) data was reported at 13.260 % in Aug 2018. This records an increase from the previous number of 9.290 % for Jul 2018. TSE: Listed Companies' Return on Equity (ROE) data is updated monthly, averaging 5.530 % from Jan 1991 (Median) to Aug 2018, with 332 observations. The data reached an all-time high of 22.190 % in Aug 2000 and a record low of -11.600 % in Jul 1998. TSE: Listed Companies' Return on Equity (ROE) data remains active status in CEIC and is reported by Japan Exchange Group. The data is categorized under Global Database’s Japan – Table JP.Z012: Tokyo Stock Exchange: Return on Equity (ROE).

Bank return on equity (%, after tax) in Japan was reported at 3.5617 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Japan - Bank return on equity (%, after tax) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Bank return on equity (%, before tax) in Japan was reported at 4.884 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Japan - Bank return on equity (%, before tax) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

JAPAN TOB return on equity for the quarter ending March 31, 2025 was 11.97. JAPAN TOB average return on equity for 2024 was 16.25, a 2.14% decline from 2023. JAPAN TOB average return on equity for 2023 was 15.91, a 2.93% increase from 2022. JAPAN TOB average return on equity for 2022 was 16.39, a 1.99% decline from 2021. Roe - return on equity can be defined as the amount of net income returned as a percentage of shareholders equity. Return on equity measures a corporation's profitability by revealing how much profit a company generates with the money shareholders have invested.

JP: Deposit Takers: Earnings and Profitability: Return on Equity data was reported at 8.106 % in Sep 2017. This records an increase from the previous number of 5.101 % for Mar 2017. JP: Deposit Takers: Earnings and Profitability: Return on Equity data is updated quarterly, averaging 7.340 % from Sep 2009 (Median) to Sep 2017, with 17 observations. The data reached an all-time high of 9.395 % in Sep 2014 and a record low of 4.786 % in Mar 2011. JP: Deposit Takers: Earnings and Profitability: Return on Equity data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Japan – Table JP.IMF.FSI: Financial Soundness Indicators: Quarterly.

Using all stocks listed in the Tokyo Stock Exchange and macroeconomic data for Japan, the dataset comprises the following series:

1. Monthly returns for 25 size-book-to-market equity portfolios, following the Fama and French (1993) methodology. (Raw data source: Datastream database)
2. Monthly returns for 20 momentum portfolios, following the Fama and French (1993) methodology. (Raw data source: Datastream database)
3. Monthly returns for 25 price-to-cash flow-dividend yield portfolios, following the Fama and French (1993) methodology. (Raw data source: Datastream database)
4. Fama and French three-factors (RM, SMB and HML), following the Fama and French (1993) methodology. (Raw data source: Datastream database)
5. Fama and French five-factors (RM, SMB, HML, RMW, and CMA), following the Fama and French (2015) methodology for all factors, except for RMW, which is determined using the return on assets as sorting variable, as in Hou, Xue and Zhang (2014). (Raw data source: Datastream database)
6. Private final consumption expenditure, in national currency and constant prices, non-seasonally adjusted, for Japan. (Raw data source: OECD)
7. Consumer Confidence Index (CCI) for Japan. (Raw data source: OECD)
8. Three-month interest rate of the Treasury Bill for Japan. (Raw data source: OECD)
9. Gross Domestic Product (GDP) for Japan. (Raw data source: OECD)
10. Consumer Price Index (CPI) growth rate for Japan. (Raw data source: OECD)

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-cash flow ratio (PC series), and (vii) dividend yield (DY 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 in the period from July 1992 to June 2018. Accordingly, our sample comprises a total number of 5,312 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. Hou K, Xue C, Zhang L. (2014). Digesting anomalies: An investment approach. Review of Financial Studies, 28, 650-705.

Internet Initiative Japan roe - return on equity from 2010 to 2024. Roe - return on equity can be defined as the amount of net income returned as a percentage of shareholders equity. Return on equity measures a corporation's profitability by revealing how much profit a company generates with the money shareholders have invested.

Japan Deposit Takers: Earnings and Profitability: Return on Equity: Capital data was reported at 50,621,220.000 JPY mn in Sep 2024. This records a decrease from the previous number of 51,218,281.000 JPY mn for Mar 2024. Japan Deposit Takers: Earnings and Profitability: Return on Equity: Capital data is updated quarterly, averaging 44,342,183.000 JPY mn from Sep 2009 (Median) to Sep 2024, with 31 observations. The data reached an all-time high of 51,218,281.000 JPY mn in Mar 2024 and a record low of 30,566,515.000 JPY mn in Sep 2009. Japan Deposit Takers: Earnings and Profitability: Return on Equity: Capital data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Japan – Table JP.IMF.FSI: 2019 Methodology: Financial Soundness Indicators: Quarterly.

Deposit Takers: Earnings and Profitability: Return on Equity: Net Income After Taxes data was reported at 5,901,066.000 JPY mn in Sep 2024. This records an increase from the previous number of 2,429,958.000 JPY mn for Mar 2024. Deposit Takers: Earnings and Profitability: Return on Equity: Net Income After Taxes data is updated quarterly, averaging 2,845,490.000 JPY mn from Sep 2009 (Median) to Sep 2024, with 31 observations. The data reached an all-time high of 5,901,066.000 JPY mn in Sep 2024 and a record low of -635,078.000 JPY mn in Mar 2020. Deposit Takers: Earnings and Profitability: Return on Equity: Net Income After Taxes data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Japan – Table JP.IMF.FSI: 2019 Methodology: Financial Soundness Indicators: Quarterly.

Japan Steel Works roe - return on equity from 2015 to 2024. Roe - return on equity can be defined as the amount of net income returned as a percentage of shareholders equity. Return on equity measures a corporation's profitability by revealing how much profit a company generates with the money shareholders have invested.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Japan Stock Market: Is It Time to Invest?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Stock market return (%, year-on-year) in Japan was reported at 22.23 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Japan - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Japan's main stock market index, the JP225, fell to 39819 points on July 18, 2025, losing 0.21% from the previous session. Over the past month, the index has climbed 3.46%, though it remains 0.61% lower than a year ago, 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 July of 2025.

We compile raw data from the Datastream database for all stocks traded on the Tokyo Stock Exchance, Osaka Exchange, Fukuoka Stock Exchange, Nagoya Stock Exchange and Sapporo Securities Exchange. Particularly, we collect the following data series, on a monthly basis: (i) total return index (RI series), (ii) market value (MV series), (iii) market-to-book equity (PTBV series), and (iv) primary SIC codes. Following Griffing et al. (2010), we exclude non-common equity securities from Datastream data. Additionally, we remove all companies with less than 12 observations in RI series for the period under analysis. Hence, our sample comprises 5,627 stocks, considering all companies that started trading or were delisted in the period under analysis. We use the three-month Treasury Bill rate for Japan, as provided by the OECD database, as a proxy for the risk-free rate. Accordingly, the dataset comprises the following series:

1. Japan_25_Portfolios_MV_PTBV_M: Monthly returns for 25 size-book-to-market equity portfolios, following the Fama and French (1993) methodology. (Raw data source: Datastream database)
2. Japan_20_Portfolios_MOM_M: Monthly returns for 20 momentum portfolios rebalanced in June of each year. (Raw data source: Datastream database)
3. Japan_61_Portfolios_SECTOR_M: Monthly returns for 61 industry portfolios. (Raw data source: Datastream database)
4. Japan_RF_M: Three-month Treasury Bill rate for Japan. (Raw data source: OECD)
5. Japan_C_Q: Private final consumption expenditure, in national currency and constant prices, non-seasonally adjusted, for Japan. (Raw data source: OECD)
6. Japan_Trade_Y: Trade openness for Japan, as measured by the variation rate of exports plus imports. (Raw data source: OECD)
7. Japan_RD_Y: Variation rate of R&D investment for Japan. (Raw data source: OECD)
8. Japan_IK_Y: Investment-capital ratio for Japan., determined using the methodology suggested by Cochrane (1991) (Raw data source: OECD)
9. Japan_CCI_M: Consumer confidence index for Japan. (Raw data source: OECD)

REFERENCES:

Cochrane, J.H. (1991), Production-based asset pricing and the link between stock returns and economic fluctuations. The Journal of Finance, 46, 209-237. 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. 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.

West Japan Railway return on equity for the quarter ending December 31, 2024 was 7.73. West Japan Railway average return on equity for 2023 was -3.52, a 95.56% decline from 2022. West Japan Railway average return on equity for 2022 was -1.8, a 31.3% increase from 2021. West Japan Railway average return on equity for 2021 was -2.62, a 179.15% decline from 2020. Roe - return on equity can be defined as the amount of net income returned as a percentage of shareholders equity. Return on equity measures a corporation's profitability by revealing how much profit a company generates with the money shareholders have invested.

JP: Foreign Direct Investment Position: Outward: Total: EU28 data was reported at 51,234,615.766 JPY mn in 2019. This records an increase from the previous number of 43,713,768.435 JPY mn for 2018. JP: Foreign Direct Investment Position: Outward: Total: EU28 data is updated yearly, averaging 38,497,955.352 JPY mn from Dec 2014 (Median) to 2019, with 6 observations. The data reached an all-time high of 51,234,615.766 JPY mn in 2019 and a record low of 30,360,971.936 JPY mn in 2014. JP: Foreign Direct Investment Position: Outward: Total: EU28 data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Japan – Table JP.OECD.FDI: Foreign Direct Investment Position: by Region and Country: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the direct investor.; Under the directional presentation , the direct investment flows and positions are organised according to the direction of the investment for the reporting economy-either outward or inward . So, for a particular country, all flows and positions of direct investors resident in that economy are shown under outward investment and all flows and positions for direct investment enterprises resident in that economy are shown under inward investment. The directional presentation reflects the direction of influence. For more details, see a complete note on ' Asset/liability versus directional presentation '; FDI financial flows are cross-border transactions between affiliated parties (direct investors, direct investment enterprises and/or fellow enterprises) recorded during the reference period (typically year or quarter). FDI positions represent the value of the stock of direct investments held at the end of the reference period (typically year or quarter). The change in direct investment positions from one period to the next is equal to the value of financial transactions recorded during the period plus other changes in prices, exchange rates, and volume. FDI income data are closely linked to the stocks of investments and are used for analysis of the productivity of the investment and calculation of the rate of return on the total funds invested. The main financial instrument components of FDI are equity and debt instruments. Equity includes common and preferred shares (exclusive of non-participating preference shares which should be included under debt), reserves, capital contributions and reinvestment of earnings. Dividends, distributed branch earnings, reinvested earnings and undistributed branch earnings are components of FDI income on equity . Reinvested earnings and reinvestment of earnings are separately identified components of equity in FDI income data and in FDI financial flows. Debt instruments include marketable securities such as bonds, debentures, commercial paper, promissory notes, non-participating preference shares and other tradable non-equity securities as well as loans, deposits, trade credit and other accounts payable/ receivable.The interest returns on the above instruments are included in FDI income on debt .; FDI financial flows, income flows and positions include, if they exist, resident Special Purpose Entities (SPEs) which cannot be identified separately. Valuation method used for listed inward and outward equity positions: Own funds at book value, Accumulation of FDI equity flows. Valuation method used for unlisted inward and outward equity positions: Own funds at book value, Accumulation of FDI equity flows. Valuation method used for inward and outward debt positions: Nominal value .

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Japan's Nikkei Soars to 33-Year High on U.S. Debt Deal, Weak Yen

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Abrdn Japan Equity Fund roe - return on equity from 1970 to 1969. Roe - return on equity can be defined as the amount of net income returned as a percentage of shareholders equity. Return on equity measures a corporation's profitability by revealing how much profit a company generates with the money shareholders have invested.

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.