Efficient market hypothesis and forecasting

EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK*

Malkiel, B. G., & Fama, E. F. (1970) · The Journal of Finance · doi:10.1111/j.1540-6261.1970.tb00518.x · Cited by 24,478

Efficient capital markets: A review of theory and empirical work

Fama, E. F. (1970) · The Journal of Finance · doi:10.2307/2325486 · Cited by 13,635

Comparing Predictive Accuracy

Diebold, F. X., & Mariano, R. S. (1994) · National Bureau of Economic Research · doi:10.3386/t0169 · Cited by 5,498

Efficient capital-markets II

FAMA, E. F. (1991) · The Journal of Finance · doi:10.1111/j.1540-6261.1991.tb04636.x · Cited by 5,350

Martingales and arbitrage in multiperiod securities markets

Harrison, J. M., & Kreps, D. M. (1979) · Journal of Economic Theory · doi:10.1016/0022-0531(79)90043-7 · Cited by 3,596

Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model

Engle, R. F., Lilien, D. M., & Robins, R. P. (1987) · Econometrica · doi:10.2307/1913242 · Cited by 2,469

Comparing Predictive Accuracy

Diebold, F. X., & Mariano, R. S. (1995) · Journal of Business and Economic Statistics · doi:10.2307/1392185 · Cited by 2,340

Simple technical trading rules and the stochastic properties of stock returns

BROCK, W., LAKONISHOK, J., & LeBARON, B. (1992) · The Journal of Finance · doi:10.1111/j.1540-6261.1992.tb04681.x · Cited by 2,301

Stochastic Consumption, Risk Aversion, and the Temporal Behavior of Asset Returns

Hansen, L. P., & Singleton, K. J. (1983) · Journal of Political Economy · doi:10.1086/261141 · Cited by 1,594

Some anomalous evidence regarding market efficiency

Jensen, M. C. (1978) · Journal of Financial Economics · doi:10.1016/0304-405x(78)90025-9 · Cited by 1,447

A new auditory algorithm in stock market prediction on oil and gas sector in Nigerian stock exchange

Oyewola, D. O., Ibrahim, A., Kwanamu, J. A., & Dada, E. G. (2021) · Soft Computing Letters · doi:10.1016/j.socl.2021.100013 · Cited by 26

Gradient Boosting and LSTM Based Hybrid Ensemble Learning for Two Step Prediction of Stock Market

Mohapatra, P. R., Parida, A. K., Swain, S. K., & Basa, S. S. (2023) · Journal of Advances in Information Technology · doi:10.12720/jait.14.6.1254-1260 · Cited by 26

A New Bootstrapped Hybrid Artificial Neural Network Approach for Time Series Forecasting

Eğrioğlu, E., & Fildes, R. A. (2020) · Computational Economics · doi:10.1007/s10614-020-10073-7 · Cited by 25

Network-based direction of movement prediction in financial markets

Kia, A. N., Haratizadeh, S., & Shouraki, S. B. (2019) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2019.103340 · Cited by 25

Events that Shook the Market: An Insight from Nonlinear Serial Dependencies in Intraday ReturnsPreprint

Lim, K., Hinich, M., & Brooks, R. (2006) · SSRN Electronic Journal · doi:10.2139/ssrn.912603 · Cited by 25

Simulating and assessing carbon markets: Application to the Korean and the EU ETSs

Jang, M., Yoon, S., Jung, S., & Min, B. (2024) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2024.114346 · Cited by 24

A Time Series Forecasting Model Selection Framework using CNN and Data Augmentation for Small Sample Data

Jiang, W., Ling, L., Zhang, D., Lin, R., & Zeng, L. (2023) · Neural Processing Letters · doi:10.1007/s11063-022-11113-z · Cited by 26

Practical machine learning: Forecasting daily financial markets directions

Henrique, B. M., Sobreiro, V. A., & Kimura, H. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.120840 · Cited by 25

Statistical Evaluation of Deep Learning Models for Stock Return Forecasting

Yılmaz, F., & Yıldıztepe, E. (2022) · Computational Economics · doi:10.1007/s10614-022-10338-3 · Cited by 22

The Profitability of Technical Analysis: A Review

Park, C., & Irwin, S. H. (2004) · AgEcon Search (University of Minnesota, USA) · doi:10.22004/ag.econ.37487 · Cited by 24

Market Inefficiencies Associated with Pricing Oil Stocks During Shocks

Qiao, K., Sun, Y., & Wang, S. (2018) · Energy Economics · doi:10.1016/j.eneco.2019.04.016 · Cited by 22

Forecasting stock market return with nonlinearity: a genetic programming approach

Ding, S., Cui, T., Xiong, X., & Bai, R. (2020) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-020-01762-0 · Cited by 22

Efficiency Hypothesis of the Stock Markets: A Case of Indian Securities

Sharma, G. D., & Mahendru, M. (2009) · International Journal of Business and Management · doi:10.5539/ijbm.v4n3p136 · Cited by 22

Hybridization of Ensemble Kalman Filter and Non-linear Auto-regressive Neural Network for Financial Forecasting

Abdulkadir, S. J., Yong, S.-P., Marimuthu, M., & Lai, F. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-13817-6_8 · Cited by 21

Improving the accuracy of outlook price forecasts

Colino, E. V., Irwin, S. H., & Garcia, P. (2010) · Agricultural Economics · doi:10.1111/j.1574-0862.2010.00519.x · Cited by 21

Embedding Four Medium-Term Technical Indicators to an Intelligent Stock Trading Fuzzy System for Predicting: A Portfolio Management Approach

Chourmouziadis, K., Chourmouziadou, D. K., & Chatzoglou, P. (2020) · Computational Economics · doi:10.1007/s10614-020-10016-2 · Cited by 22

Forecast Encompassing as the Necessary Condition to Reject Futures Market Efficiency: Fluid Milk Futures

Sanders, D. R., & Manfredo, M. R. (2005) · American Journal of Agricultural Economics · doi:10.1111/j.1467-8276.2005.00751.x · Cited by 21

A call on art investments

Kräussl, R., & Wiehenkamp, C. (2011) · Review of Derivatives Research · doi:10.1007/s11147-011-9061-x · Cited by 20

THE IMPACT OF BEHAVIORAL FINANCE ON STOCK MARKETS

Ramona, F. (2012) · RePEc: Research Papers in Economics · Cited by 20

Economic significance of market timing rules in the Forward Freight Agreement markets

Nomikos, N. K., & Doctor, K. (2013) · Transportation Research Part E Logistics and Transportation Review · doi:10.1016/j.tre.2012.11.009 · Cited by 20

Stock market prediction based on adaptive training algorithm in machine learning

Kim, H., Jun, S., & Moon, K.-S. (2022) · Quantitative Finance · doi:10.1080/14697688.2022.2041208 · Cited by 19

10.5937/ekonhor1403225g = Analyzing the efficient market hypothesis with the Fourier unit root tests: Evidence from G-20 countries

Gümüş, B., & Zeren, F. (2014) · Ekonomski horizonti · doi:10.5937/ekonhor1403225g · Cited by 19

Nonlinearity and efficiency dynamics of foreign exchange markets: evidence from multifractality and volatility of major exchange rates

Han, C., Wang, Y., & Xu, Y. (2020) · Economic Research-Ekonomska Istraživanja · doi:10.1080/1331677x.2020.1734852 · Cited by 19

A novel LASSO – TLBO – SVR hybrid model for an efficient portfolio construction

Mishra, S., Padhy, S., Mishra, S. N., & Misra, S. N. (2021) · The North American Journal of Economics and Finance · doi:10.1016/j.najef.2020.101350 · Cited by 20

Market efficiency during the global financial crisis: Empirical evidence from European banks

Choudhry, T., & Jayasekera, R. (2014) · Journal of International Money and Finance · doi:10.1016/j.jimonfin.2014.03.008 · Cited by 19

Market development and market efficiency: evidence based on nonlinear panel unit root tests

AKTAN, C., Iren, P., & Omay, T. (2018) · European Journal of Finance · doi:10.1080/1351847x.2018.1560346 · Cited by 18

Market Efficiency and Nonlinear Analysis of Soybean Futures

Yin, T., & Wang, Y. (2021) · Sustainability · doi:10.3390/su13020518 · Cited by 18

Energy Crisis and Electricity Reform of Ukraine - First Results

Shevchenko, S., Koval, A., Danylchenko, D. O., & Koval, V. (2020) · IEEE KhPI Week on Advanced Technology (KhPIWeek) · doi:10.1109/khpiweek51551.2020.9250119 · Cited by 17

Comparison of machine learning methods for financial time series forecasting at the examples of over 10 years of daily and hourly data of DAX 30 and S&P 500

Ersan, D., Nishioka, C., & Scherp, A. (2019) · Journal of Computational Social Science · doi:10.1007/s42001-019-00057-5 · Cited by 18

Forward-looking financial risk management and the housing market in the United Kingdom: is there a role for sentiment indicators?

Kunze, F., Basse, T., Gonzalez, M. R., & Vornholz, G. (2020) · The Journal of Risk Finance · doi:10.1108/jrf-10-2019-0191 · Cited by 17

Level of efficiency in the UK equity market: empirical study of the effects of the global financial crisis

Choudhry, T., & Jayasekera, R. (2013) · Review of Quantitative Finance and Accounting · doi:10.1007/s11156-013-0404-6 · Cited by 17

Forecasting bulk prices of Bordeaux wines using leading indicators

Paroissien, E. (2019) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2019.04.021 · Cited by 17

Efficient scholars: academic attention and the disappearance of anomalies

Shanaev, S., & Ghimire, B. (2020) · European Journal of Finance · doi:10.1080/1351847x.2020.1812684 · Cited by 17

Predictions of short-term rates and the expectations hypothesis

Guidolin, M., & Thornton, D. L. (2018) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2018.03.006 · Cited by 17

The trading on the mutual funds by gene expression programming with Sortino ratio

Chen, H., Yang, C., & Peng, Y.-H. (2013) · Applied Soft Computing · doi:10.1016/j.asoc.2013.09.011 · Cited by 18

Using conditional probability to identify trends in intra-day high-frequency equity pricing

Rechenthin, M., & Street, W. N. (2013) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2013.08.003 · Cited by 16

Analysis of the Relationship between Ethanol Spot and Futures Prices in Brazil

Quintino, D., David, S. A., & Vian, C. E. D. F. (2017) · International Journal of Financial Studies · doi:10.3390/ijfs5020011 · Cited by 16

On the investment value of sell-side analyst recommendation revisions in the UK

Su, C., Zhang, H., Bangassa, K., & Joseph, N. L. (2018) · Review of Quantitative Finance and Accounting · doi:10.1007/s11156-018-0749-y · Cited by 18

Forecasting Political Events

Horowitz, M. C. (2021) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780190634131.013.16 · Cited by 16

An Intelligent Trading System with Fuzzy Rules and Fuzzy Capital Management

Naranjo, R., Alias, A. M., Arroyo, J., & Santos, M. (2015) · International Journal of Intelligent Systems · doi:10.1002/int.21734 · Cited by 15

Informational efficiency of the EU ETS market – a study of price predictability and profitable trading

Aatola, P., Ollikka, K., & Ollikainen, M. (2013) · Journal of Environmental Economics and Policy · doi:10.1080/21606544.2013.865569 · Cited by 16

Nonparametric Retrospection and Monitoring of Predictability of Financial Returns

Anatolyev, S. (2009) · Journal of Business and Economic Statistics · doi:10.1198/jbes.2009.0010 · Cited by 16

Forecasting the value effect of seasoned equity offering announcements

Bozos, K., & Nikolopoulos, K. I. (2011) · European Journal of Operational Research · doi:10.1016/j.ejor.2011.04.007 · Cited by 15

Decision trees unearth return sign predictability in the S&P 500

Fiévet, L., & Sornette, D. (2018) · Quantitative Finance · doi:10.1080/14697688.2018.1441535 · Cited by 14

Taiwan Stock Investment with Gene Expression Programming

Lee, C.-H., Yang, C., & Chen, H. (2014) · Procedia Computer Science · doi:10.1016/j.procs.2014.08.093 · Cited by 14

TESTING WEAK-FORM EFFICIENCY OF EMERGING ECONOMIES: A CRITICAL REVIEW OF LITERATURE / KRITINĖ KYLANČIOS EKONOMIKOS MAŽO RINKOS EFEKTYVUMO LITERATŪROS APŽVALGA

Nurunnabi, M. (2012) · Journal of Business Economics and Management · doi:10.3846/16111699.2011.620140 · Cited by 14

Patterns in stock market movements tested as random number generators

Doyle, J. R., & Chen, C. H. (2012) · European Journal of Operational Research · doi:10.1016/j.ejor.2012.11.057 · Cited by 14

Artificial neural network analysis of the day of the week anomaly in cryptocurrencies

Tosunoğlu, N. G., Abacı, H., Ateş, G., & Akkaya, N. S. (2023) · Financial Innovation · doi:10.1186/s40854-023-00499-x · Cited by 13

Using Dynamic Model Averaging in State Space Representation with Dynamic Occam's Window and Applications to the Stock and Gold Market

Risse, M., & Ohl, L. (2016) · Journal of Empirical Finance · doi:10.1016/j.jempfin.2017.09.005 · Cited by 13

The role of information and communication technology (internet penetration) on Asian stock market efficiency: Evidence from quantile‐on‐quantile cointegration and causality approach

Afshan, S., Sharif, A., Nassani, A. A., Abro, M. M. Q., Batool, R., & Zaman, K. (2020) · International Journal of Finance & Economics · doi:10.1002/ijfe.1908 · Cited by 13

Judgemental bootstrapping of technical traders in the bond market

Batchelor, R., & Kwan, T. Y. (2007) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2007.05.007 · Cited by 13

Major Transitions in Political Order

DeDeo, S. (2017) · Cambridge University Press eBooks · doi:10.1017/9781316584200.016 · Cited by 14

Analysis of Asymmetric and Persistence in Stock Return Volatility in the Nairobi Securities Exchange Market Phases

Owidi, O. H., & Mugo-Waweru, F. (2016) · Cai-jing yanjiu · doi:10.12691/jfe-4-3-1 · Cited by 13

A theoretical foundation of portfolio resampling

Frahm, G. (2014) · Theory and Decision · doi:10.1007/s11238-014-9453-0 · Cited by 13

Limitations of Granger Causality Analysis to assess the price effects from the financialization of agricultural commodity markets under bounded rationalityPreprint

Grosche, S., & Grosche, S. (2012) · RePEc: Research Papers in Economics · doi:10.22004/ag.econ.121868 · Cited by 13

Predicting Break-Points in Trading Strategies with TwitterPreprint

Vincent, A., & Armstrong, M. (2010) · SSRN Electronic Journal · doi:10.2139/ssrn.1685150 · Cited by 13

Unveiling deep learning powers: LSTM, BiLSTM, GRU, BiGRU, RNN comparison

Shaikh, Z. M., & Suguna, R. (2024) · Indonesian Journal of Electrical Engineering and Computer Science · doi:10.11591/ijeecs.v35.i1.pp263-273 · Cited by 12

Separating the predictable part of returns with CNN-GRU-attention from inputs to predict stock returns

Yang, J., Zhang, M., Fang, R., Zhang, W., & Zhou, J. (2024) · Applied Soft Computing · doi:10.1016/j.asoc.2024.112116 · Cited by 15

A Comparison of Time Series Model Forecasting Methods on Patent Groups.

Smith, M., & Agrawal, R. K. (2015) · MAICS · Cited by 12

Algorithmic complexity of financial motions

Brandouy, O., Delahaye, J.-P., Ma, L., & Zenil, H. (2012) · Research in International Business and Finance · doi:10.1016/j.ribaf.2012.08.001 · Cited by 12

A survival analysis method for stock market prediction

Gao, G., Bu, Z., Liu, L., Cao, J., & Wu, Z. (2015) · International Conference on Behavioral, Economic, and Socio-Cultural Computing · doi:10.1109/besc.2015.7365968 · Cited by 12

Measuring the functional efficiency of agricultural futures markets

Consuegra, M., & García-Verdugo, J. (2016) · Australian Journal of Agricultural and Resource Economics · doi:10.1111/1467-8489.12196 · Cited by 12

Political Cycle and Stock Market - The Case of Malaysia

Celis, E. E., & Shen, L. J. (2015) · Cited by 12

PRICING AND VALUATION UNDER THE REAL-WORLD MEASURE

Frahm, G. (2016) · International Journal of Theoretical and Applied Finance · doi:10.1142/s0219024916500060 · Cited by 12

Forecasting the stock market index using artificial intelligence techniques

Marwala, L. (2010) · University of the Witwatersrand, Johannesburg Institutional Repository on DSpace (University of the Witwatersrand, Johannesburg) · Cited by 13

Autoencoding Conditional GAN for Portfolio Allocation Diversification

Lu, J., & Yi, S. (2022) · Applied Economics and Finance · doi:10.11114/aef.v9i3.5610 · Cited by 11

Ethereum 2.0 Hard Fork: Consensus Change and Market Efficiency

Ahn, J., Yi, E., & Kim, M. (2024) · The Journal of British Blockchain Association · doi:10.31585/jbba-7-2-(2)2024 · Cited by 11

Predictive Patterns and Market Efficiency: A Deep Learning Approach to Financial Time Series Forecasting

Vukovic, D. B., Radenković, S. D., Simeunović, I., Zinovev, V., & Radovanovic, M. M. (2024) · Mathematics · doi:10.3390/math12193066 · Cited by 16

HİSSE SENEDİ GETİRİLERİNDE DOĞRUSAL OLMAYAN DİNAMİKLER: TÜRKİYE'DEN KANITLAR

Sülkü, S. N., & Ürkmez, E. (2018) · Uluslararası İktisadi ve İdari İncelemeler Dergisi · doi:10.18092/ulikidince.349846 · Cited by 11

Pairs trading across Mainland China and Hong Kong stock markets

Zhang, H., & Urquhart, A. (2018) · International Journal of Finance & Economics · doi:10.1002/ijfe.1687 · Cited by 11

DRNN-ARIMA Approach to Short-term Trend Forecasting in Forex Market

Weerathunga, H. P. S. D., & Silva, T. (2018) · International Conference on Advances in ICT for Emerging Regions · doi:10.1109/icter.2018.8615580 · Cited by 11

A Data-Driven Model Approach for DayWise Stock Prediction

Unnithan, N. A., Gopalakrishnan, E. A., Menon, V., & Soman, K. P. (2019) · Lecture notes in electrical engineering · doi:10.1007/978-981-13-5802-9_14 · Cited by 11

Deep Learning for Financial Time Series Forecast Fusion and Optimal Portfolio Rebalancing

Laher, S., Paskaramoorthy, A., & van Zyl, T. L. (2021) · International Conference on Information Fusion (FUSION) · doi:10.23919/fusion49465.2021.9626945 · Cited by 11

Load Forecasting Accuracy through Combination of Trimmed Forecasts

Hassan, S., Khosravi, A., Jaafar, J., & Belhaouari, S. B. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-34475-6_19 · Cited by 11

PAGAN: Portfolio Analysis with Generative Adversarial NetworksPreprint

Mariani, G., Zhu, Y., Li, J., Scheidegger, F., Istrate, R., Bekas, C., & Malossi, A. C. I. (2019) · RePEc: Research Papers in Economics · doi:10.48550/arxiv.1909.10578 · Cited by 11

Weak-Form Market Efficiency of the Brazilian Exchange Rate: Evidence from an Artificial Neural Network Model

Palma, A. A., & Sartoris, A. (2016) · Latin American Business Review · doi:10.1080/10978526.2016.1171720 · Cited by 10

Technology Choices in the U.S. Electricity Industry before and after Market Restructuring

Csereklyei, Z., & Stern, D. I. (2018) · The Energy Journal · doi:10.5547/01956574.39.5.zcse · Cited by 10

Corporate Credit Risk Analysis Utilizing Textual User Generated Content - A Twitter Based Feasibility Study

Mengelkamp, A., Hobert, S., & Schümann, M. (2015) · Journal of the Association for Information Systems · Cited by 10

Equity price direction prediction for day trading: Ensemble classification using technical analysis indicators with interaction effects

den Poel, D. V., Chesterman, C., Koppen, M., & Ballings, M. (2016) · IEEE Congress on Evolutionary Computation (CEC) · doi:10.1109/cec.2016.7744227 · Cited by 10

Fuzzy Based Neuro - Genetic Algorithm for Stock Market Prediction

Venugopal, K. R., Srinivasa, K. G., & Patnaik, L. M. (2009) · Studies in computational intelligence · doi:10.1007/978-3-642-00193-2_7 · Cited by 10

Forty Years, Thirty Currencies and 21,000 Trading Rules: A Large-Scale, Data-Snooping Robust Analysis of Technical Trading in the Foreign Exchange MarketPreprint

Hsu, P., & Taylor, M. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2517125 · Cited by 10

Empirical Cross-Sectional Asset PricingPreprint

Nagel, S. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.2175304 · Cited by 10

The predictive ability of technical trading rules: an empirical analysis of developed and emerging equity markets

Rink, K. (2023) · Financial markets and portfolio management · doi:10.1007/s11408-023-00433-2 · Cited by 16

Harry Markowitz: An appreciation

Guerard, J. B. (2023) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2023.07.004 · Cited by 9

Evolutionary model on market ecology of investors and investments

Gao, Y.-C., Cai, S., Lü, L., & Wang, B.-H. (2013) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2013.04.007 · Cited by 9

Yaz Saati Uygulaması Anomalisinin İMKB 100 Endeks Getirisine Etkisinin Test Edilmesi

Korkmaz, T., BAŞARAN, Ü., & Çevik, E. İ. (2010) · Ege Akademik Bakis (Ege Academic Review) · doi:10.21121/eab.2010419600 · Cited by 9

What do we know about informational efficiency? Three puzzles and the new direction forward

Go, Y., & Lau, W. (2021) · Journal of Economic Surveys · doi:10.1111/joes.12478 · Cited by 9

Can active investment managers beat the market? A study from the U.S. large cap equity segment

Šindelář, J. (2022) · Finance research letters · doi:10.1016/j.frl.2022.103204 · Cited by 12

Stock Market Efficiency in Asia: Evidence from the Narayan–Liu–Westerlund 's GARCH ‐based unit root test

Yaya, O. S., Adekoya, O. B., Vo, X. V., & Al‐Faryan, M. A. S. (2022) · International Journal of Finance & Economics · doi:10.1002/ijfe.2676 · Cited by 9

Adjusting supply chain forecasts for short-term temperature estimates: a case study in a Brewing company

Nikolopoulos, K. I., & Fildes, R. A. (2012) · IMA Journal of Management Mathematics · doi:10.1093/imaman/dps006 · Cited by 9

Testing the performance of technical analysis and sentiment-TAR trading rules in the Malaysian stock market

Tan, S., Lai, M.-M., Tey, E.-X., & Chong, L. (2018) · The North American Journal of Economics and Finance · doi:10.1016/j.najef.2018.12.007 · Cited by 13

Testing the financial market informational efficiency in emerging states

Oprean-Stan, C. (2012) · RePEc: Research Papers in Economics · Cited by 8

La hipótesis de eficiencia y la modelación de series bursátiles mexicanas: un análisis multivariado

Ruíz-Porras, A., & Ruiz-Robles, B. (2015) · Economía Informa · doi:10.1016/s0185-0849(15)30003-7 · Cited by 8

THE PREDICTABILITY OF STOCK MARKET RETURNS IN SOUTH AFRICA: PARAMETRIC VS. NON‐PARAMETRIC METHODS

Bonga‐Bonga, L., & Mwamba, J. W. M. (2011) · South African Journal of Economics · doi:10.1111/j.1813-6982.2011.01280.x · Cited by 8

How Reliable is the Moving Average Crossover Rule for an Investor on the Romanian Stock Market

Anghel, D. G. (2013) · RePEc: Research Papers in Economics · Cited by 8

SVM based Stock Price Forecasting Using Financial Statements

Heo, J., & Yang, J. Y. (2015) · 정보과학회 컴퓨팅의 실제 논문지 · doi:10.5626/ktcp.2015.21.3.167 · Cited by 8

Is the sovereign debt market efficient? Evidence from the US and German sovereign debt markets

Fakhry, B., & Richter, C. (2014) · International Economics and Economic Policy · doi:10.1007/s10368-014-0304-9 · Cited by 8

Non-linear forecasting in high-frequency financial time series

Strozzi, F., & Zaldı́var, J. M. (2005) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2005.01.047 · Cited by 8

Towards a non-linear trading strategy for financial time series

Strozzi, F., & Comenges, J. Z. (2005) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2005.08.006 · Cited by 8

The performance of technical trading rules in Socially Responsible Investments

Urquhart, A., & Zhang, H. (2019) · International Review of Economics & Finance · doi:10.1016/j.iref.2019.05.002 · Cited by 8

Abstract Efficient market hypothesis and forecasting

Timmermann, A., & Granger, C. W. J. (2008)

Predictive Patterns and Market Efficiency: A Deep Learning Approach to Financial Time Series Forecasting

Vukovic, D. B., Radenković, S. D., Simeunović, I., Zinovev, V., & Radovanovic, M. M. (2024) · Mathematics · doi:10.3390/math12193066 · Cited by 16

A note on tests of efficient market hypotheses: The case of the forward exchange rate

Zietz, J. (1995) · Atlantic Economic Journal · doi:10.1007/bf02298767 · Cited by 1

Tests of the Efficient Markets Hypothesis

Reschenhofer, E., & Hauser, M. A. (2016) · Austrian Journal of Statistics · doi:10.17713/ajs.v26i1.541

An Assessment of Forecasting Accuracy and Market Efficiency in the International

Market, M., & Levich, R. M. (2015)