create a website

Applying machine learning models on blockchain platform selection. (2024). Dwivedi, Vijay Kumar ; Kumar, Dharmendra ; Dubey, Chhaya ; Singh, Ashutosh Kumar.
In: International Journal of System Assurance Engineering and Management.
RePEc:spr:ijsaem:v:15:y:2024:i:8:d:10.1007_s13198-024-02363-2.

Full description at Econpapers || Download paper

Cited: 0

Citations received by this document

Cites: 69

References cited by this document

Cocites: 60

Documents which have cited the same bibliography

Coauthors: 0

Authors who have wrote about the same topic

Citations

Citations received by this document

    This document has not been cited yet.

References

References cited by this document

  1. Abdulsalam SO, Kayode S, Jimoh RG (2011) Stock trend prediction using regression analysis - a data mining approach.
    Paper not yet in RePEc: Add citation now
  2. Akben SB (2019) Determination of the blood, hormone and obesity value ranges that indicate the breast cancer, using data mining based expert system. Irbm 40(6):355–360.
    Paper not yet in RePEc: Add citation now
  3. Alzubi J, Nayyar A, Kumar A (2018) Machine learning from theory to algorithms: an overview. J Phys Conf Ser 1142:012012. https://doi.org/10.1088/1742-6596/1142/1/012012 .
    Paper not yet in RePEc: Add citation now
  4. Anagnostopoulos T, Kyriakopoulos GL, Ntanos S, Gkika E, Asonitou S (2020) Intelligent predictive analytics for sustainable business investment in renewable energy sources. Sustainability 12(7):2817.

  5. Aswath GI, Vasudevan SK, Sampath N (2020) A frugal and innovative telemedicine approach for rural India-automated doctor machine. Int J Med Eng Inform 12(3):278–290.
    Paper not yet in RePEc: Add citation now
  6. Balasubramanian K, Ananthamoorthy NP (2021) Robust retinal blood vessel segmentation using convolutional neural network and support vector machine. J Amb Intell Human Comput 12:3559–3569.
    Paper not yet in RePEc: Add citation now
  7. Belderrar A, Hazzab A (2021) Real-time estimation of hospital discharge using fuzzy radial basis function network and electronic health record data. Int J Med Eng Inform 13(1):75–83.
    Paper not yet in RePEc: Add citation now
  8. Bheeram VR, Malla RR, Kumari S, Saha A, Mukkamala SB (2019) Cytotoxic effect of photoluminescent re3+ doped ca3 (po4) 2 nanorods on breast cancer cell lines. IRBM 40(5):270–278.
    Paper not yet in RePEc: Add citation now
  9. Biau G, Scornet E (2015) A random forest guided tour. TEST 25:11. https://doi.org/10.1007/s11749-016-0481-7 . Boser B E, Guyon I M, Vapnik V N. A training algorithm for optimal margin classifiers. In: proceedings of the 5th annual ACM Workshop on Computational Learning Theory, pp 144–152.
    Paper not yet in RePEc: Add citation now
  10. Brownlee J (2016) Machine learning mastery with Python: understand your data, create accurate models, and work projects end-to-end. Machine Learning Mastery.
    Paper not yet in RePEc: Add citation now
  11. Budak Ü, Güzel AB (2020) Automatic grading system for diagnosis of breast cancer exploiting co-occurrence shearlet transform and histogram features. IRBM 41(2):106–114.
    Paper not yet in RePEc: Add citation now
  12. Buguk C, Wade Brorsen B (2003) Testing weak-form market efficiency: evidence from the Istanbul stock exchange. Int Rev Financ Anal 12(5):579–590.

  13. Chen X, Ji J, Luo C, Liao W, Li P (2018) When machine learning meets blockchain: a decentralized, privacy-preserving and secure design. pp 1178–1187, https://doi.org/10.1109/BigData.2018.8622598 .
    Paper not yet in RePEc: Add citation now
  14. Christidis K, Devetsikiotis M (2016) Blockchains and smart contracts for the internet of things. IEEE Access 4:2292–2303. https://doi.org/10.1109/ACCESS.2016.2566339 .
    Paper not yet in RePEc: Add citation now
  15. Clincy V, Shahriar H (2019) Blockchain development platform comparison. In 2019 IEEE 43rd annual computer software and applications conference (COMPSAC), volume 1, pp 922–923. IEEE.
    Paper not yet in RePEc: Add citation now
  16. Cortes C, Vapnik V (1995) Support-vector networks. Mach Learn 20(3):273–297.
    Paper not yet in RePEc: Add citation now
  17. Duarte JJ, Gonzlez SM, Cruz J (2021) Predicting stock price falls using news data: evidence from the Brazilian market. Computat Econom 57(1):311–340.

  18. Ganiyu IA (2016) Data mining: a prediction for academic performance improvement of science students using classification. Int J Inform Commun Technol Res 6(04):16.
    Paper not yet in RePEc: Add citation now
  19. Gupta V, Mittal M (2019) Qrs complex detection using stft, chaos analysis, and pca in standard and real-time ecg databases. J Instit Eng Ser B 100:489–497.
    Paper not yet in RePEc: Add citation now
  20. Gupta V, Mittal M, Mittal V (2021) Frwt-ppca-based r-peak detection for improved management of healthcare system. IETE J Res 69:1–15.
    Paper not yet in RePEc: Add citation now
  21. Gupta V, Mittal M, Mittal V, Saxena N K (2022d) Spectrogram as an emerging tool in ecg signal processing. In Recent Advances in Manufacturing, Automation, Design and Energy Technologies: Proceedings from ICoFT 2020, pages 407–414. Springer.
    Paper not yet in RePEc: Add citation now
  22. Gupta V, Saxena NK, Kanungo A, Kumar P, Diwania S (2022) Pca as an effective tool for the detection of r-peaks in an ecg signal processing. Int J Syst Assur Eng Manag 13(5):2391–2403.

  23. Harmouche M, Maasrani M, Verhoye J-P, Corbineau H, Drochon A (2014) Coronary three-vessel disease with occlusion of the right coronary artery: what are the most important factors that determine the right territory perfusion? IRBM 35(3):149–157.
    Paper not yet in RePEc: Add citation now
  24. Helen MMC, Singh D, Deepak KK (2020) Changes in scale-invariance property of electrocardiogram as a predictor of hypertension. Int J Med Eng Inform 12(3):228–236.
    Paper not yet in RePEc: Add citation now
  25. Hijazi A A, Perera S, Al-Ashwal A M, Neves Calheiros R (2019) Enabling a single source of truth through bim and blockchain integration. In Proceedings of the 2019 International Conference on Innovation, Technology, Enterprise and Entrepreneurship (ICITEE 2019), 24-25 November 2019, Kingdom of Bahrain, pp 385–393,.
    Paper not yet in RePEc: Add citation now
  26. Jérôme Velut P-A, Lentz DB, Coatrieux J-L, Toumoulin C (2011) Assessment of qualitative and quantitative features in coronary artery mra. IRBM 32(4):229–242.
    Paper not yet in RePEc: Add citation now
  27. Karayazi Ferhat, Bereketli Ilke (2020) Criteria weighting for blockchain software selection using fuzzy ahp. In: international conference on intelligent and fuzzy systems, pp 608–615. Springer.
    Paper not yet in RePEc: Add citation now
  28. Karthik R, Menaka R, Kathiresan GS, Anirudh M, Nagharjun M (2022) Gaussian dropout based stacked ensemble cnn for classification of breast tumor in ultrasound images. Irbm 43(6):715–733.
    Paper not yet in RePEc: Add citation now
  29. Kaushal C, Bhat S, Koundal D, Singla A (2019) Recent trends in computer assisted diagnosis (cad) system for breast cancer diagnosis using histopathological images. Irbm 40(4):211–227.
    Paper not yet in RePEc: Add citation now
  30. Kim N, Lee Y-W (2016) Machine learning approaches to corn yield estimation using satellite images and climate data: a case of iowa state. J Korean Soc Surv Geod Photogr Cartogr 34(4):383–390.
    Paper not yet in RePEc: Add citation now
  31. Kotsiantis SB (2011) Decision trees: a recent overview. Artif Intell Rev 39:261–283.
    Paper not yet in RePEc: Add citation now
  32. Kuo T-T, Rojas HZ, Ohno-Machado L (2019) Comparison of blockchain platforms: a systematic review and healthcare examples. J Am Med Inform Assoc 26(5):462–478.
    Paper not yet in RePEc: Add citation now
  33. Li S, Nunes JC, Toumoulin C, Luo L (2018) 3d coronary artery reconstruction by 2d motion compensation based on mutual information. IRBM 39(1):69–82.
    Paper not yet in RePEc: Add citation now
  34. Liu T, Huang J, Liao T, Pu R, Liu S, Peng Y (2022) A hybrid deep learning model for predicting molecular subtypes of human breast cancer using multimodal data. Irbm 43(1):62–74.
    Paper not yet in RePEc: Add citation now
  35. Liu T, Huang J, Liao T, Pu R, Liu S, Peng Y (2022) A hybrid deep learning model for predicting molecular subtypes of human breast cancer using multimodal data. Irbm 43(1):62–74.
    Paper not yet in RePEc: Add citation now
  36. Lu S-Y, Wang S-H, Zhang Y-D (2023) Bcdnet: an optimized deep network for ultrasound breast cancer detection. IRBM 44(4):100774.
    Paper not yet in RePEc: Add citation now
  37. Mabrouk S, Oueslati C, Ghorbel F (2017) Multiscale graph cuts based method for coronary artery segmentation in angiograms. Irbm 38(3):167–175.
    Paper not yet in RePEc: Add citation now
  38. Mahdi M, Babak M, Amirhossein P, Ali M (2021) Off-chain management and state-tracking of smart programs on blockchain for secure and efficient decentralized computation. Int J Comput Appl 44(9):822–829.
    Paper not yet in RePEc: Add citation now
  39. Mokeddem F, Meziani F, Debbal SM (2020) Study of murmurs and their impact on the heart variability. Int J Med Eng Inform 12(3):291–301.
    Paper not yet in RePEc: Add citation now
  40. Morkunas VJ, Paschen J, Boon E (2019) How blockchain technologies impact your business model. Busin Horiz 62(3):295–306.

  41. Muhammad KD, Nawaz M (2011) An integration of k-means and decision tree (id3) towards a more efficient data mining algorithm. J Comput 3(12):76–82.
    Paper not yet in RePEc: Add citation now
  42. Nakamoto S (2009) Bitcoin: a peer-to-peer electronic cash system. URL http://www.bitcoin.org/bitcoin.pdf .
    Paper not yet in RePEc: Add citation now
  43. Nikam A, Bhandari S, Mhaske A, Mantri S (2020) Cardiovascular disease prediction using machine learning models. pp 22–27 . https://doi.org/10.1109/PuneCon50868.2020.9362367 .
    Paper not yet in RePEc: Add citation now
  44. Niranjanamurthy M, Nithya BN, Jagannatha SJCC (2019) Analysis of blockchain technology: pros, cons and swot. Clust Comput 22(6):14743–14757.
    Paper not yet in RePEc: Add citation now
  45. Niranjanamurthy M, Nithya BN, Jagannatha SJCC (2019) Analysis of blockchain technology: pros, cons and swot. Clust Comput 22(6):14743–14757.
    Paper not yet in RePEc: Add citation now
  46. Nongyao N, Rungruttikarn M (2015) Comparison of classifiers for the risk of diabetes prediction. Proced Comput Sci 69:132–142. https://doi.org/10.1016/j.procs.2015.10.014 .
    Paper not yet in RePEc: Add citation now
  47. Ntanos Stamatios, Asonitou Sofia, Karydas Dimitrios, Kyriakopoulos Grigorios (2020) Blockchain technology: A case study from greek accountants. In: strategic innovative marketing and tourism: 8th ICSIMAT, Northern Aegean, Greece, 2019, pp 727–735. Springer.
    Paper not yet in RePEc: Add citation now
  48. Pudaruth S (2014) Predicting the price of used cars using machine learning techniques. Int J Inf Comput Technol 4(7):753–764.
    Paper not yet in RePEc: Add citation now
  49. Rahman MM, Ghasemi Y, Suley E, Zhou Y, Wang S, Rogers J (2021) Machine learning based computer aided diagnosis of breast cancer utilizing anthropometric and clinical features. Irbm 42(4):215–226.
    Paper not yet in RePEc: Add citation now
  50. Ramachandran SK, Manikandan P (2021) An efficient alo-based ensemble classification algorithm for medical big data processing. Int J Med Eng Inform 13(1):54–63.
    Paper not yet in RePEc: Add citation now
  51. Rish I (2001) An empirical study of the naïve bayes classifier. IJCAI 2001 Work Empir Methods Artif Intell, 3.
    Paper not yet in RePEc: Add citation now
  52. Rong-Ho L (2009) An intelligent model for liver disease diagnosis. Artif Intell Med 47(1):53–62. https://doi.org/10.1016/j.artmed.2009.05.005 .
    Paper not yet in RePEc: Add citation now
  53. Samudaya N, Rodrigo MNN, Srinath P, Weerasuriya Geeganage T, Hijazi Amer A (2021) A methodology for selection of a blockchain platform to develop an enterprise system. J Indu Inform Integr 23:100215.
    Paper not yet in RePEc: Add citation now
  54. Sannasi Chakravarthy SR, Bharanidharan N, Rajaguru H (2023) Deep learning-based metaheuristic weighted k-nearest neighbor algorithm for the severity classification of breast cancer. IRBM 44(3):100749.
    Paper not yet in RePEc: Add citation now
  55. Smith KA, Willis RJ, Brooks M (2000) An analysis of customer retention and insurance claim patterns using data mining: a case study. J Operat Res Soc 51(5):532–541.

  56. Srinath P, Samudaya N, Rodrigo MNN, Sepani S, Ralf W (2020) Blockchain technology: Is it hype or real in the construction industry? J Indu Inform Integr 17:100125.
    Paper not yet in RePEc: Add citation now
  57. Sunny AD, Kulshreshtha S, Singh S, Srinabh BM, Sarojadevi DRH (2018) Disease diagnosis system by exploring machine learning algorithms.
    Paper not yet in RePEc: Add citation now
  58. Swan M (2015) Blockchain: Blueprint for a new economy. O’Reilly Media, Inc..
    Paper not yet in RePEc: Add citation now
  59. Tanwar Sudeep, Bhatia Qasim, Patel Pruthvi, Aparna Kumari Dr., Singh Pradeep, Hong Wei-Chiang (03 2020) Machine learning adoption in blockchain-based smart applications: the challenges, and a way forward. IEEE Access, 2020: 474. https://doi.org/10.1109/ACCESS.2019.2961372 .
    Paper not yet in RePEc: Add citation now
  60. Tyagi Ankita, Mehra Ritika (03 2019) Interactive thyroid disease prediction system using machine learning technique. https://doi.org/10.1109/PDGC.2018.8745910 .
    Paper not yet in RePEc: Add citation now
  61. Varun G, Monika M, Vikas M (2022) A novel frwt based arrhythmia detection in ecg signal using ywara and pca. Wirel Pers Commun 1:1–18.
    Paper not yet in RePEc: Add citation now
  62. Varun G, Monika M, Vikas M, Yatender C (2022) Detection of r-peaks using fractional fourier transform and principal component analysis. J Amb Intell Human Comput 1:1–12.
    Paper not yet in RePEc: Add citation now
  63. Vladimir N (1995) Vapnik. The nature of statistical learning theory. Springer-Verlag, New York Inc, pp 387–945.
    Paper not yet in RePEc: Add citation now
  64. Webb GI, Keogh E, Miikkulainen R (2010) Naïve bayes. Encyclop Mach Learn 15:713–714.
    Paper not yet in RePEc: Add citation now
  65. Witten I H, Frank E, Trigg L E, Hall M A, Holmes G, Cunningham S J (1999) Weka: Practical machine learning tools and techniques with java implementations.
    Paper not yet in RePEc: Add citation now
  66. Xu X, Huang L, Wu R, Zhang W, Ding G, Liu L, Chi M, Xie J (2022) Multi-feature fusion method for identifying carotid artery vulnerable plaque. IRBM 43(4):272–278.
    Paper not yet in RePEc: Add citation now
  67. Zeng W, Miwa T, Morikawa T (2017) Application of the support vector machine and heuristic k-shortest path algorithm to determine the most eco-friendly path with a travel time constraint. Transp Res Part D Trans Environ 57:458–473.
    Paper not yet in RePEc: Add citation now
  68. Zhang L, Cui H, Liu B, Zhang C, Horn BKP (2021) Backpropagation neural network for processing of missing data in breast cancer detection. IRBM 42(6):435–441.
    Paper not yet in RePEc: Add citation now
  69. Zhang X (2022) The use of ethereum blockchain using internet of things technology in information and fund management of financial poverty alleviation system. Int J Syst Assur Eng Manag 13(3):1205–1215.

Cocites

Documents in RePEc which have cited the same bibliography

  1. Applying machine learning models on blockchain platform selection. (2024). Dwivedi, Vijay Kumar ; Kumar, Dharmendra ; Dubey, Chhaya ; Singh, Ashutosh Kumar.
    In: International Journal of System Assurance Engineering and Management.
    RePEc:spr:ijsaem:v:15:y:2024:i:8:d:10.1007_s13198-024-02363-2.

    Full description at Econpapers || Download paper

  2. Do changes in the business environment and sustainable development really matter for enhancing enterprise development?. (2023). Brychko, Maryna ; Bilan, Yuriy ; Lyeonov, Serhiy ; Streimikiene, Dalia.
    In: Sustainable Development.
    RePEc:wly:sustdv:v:31:y:2023:i:2:p:587-599.

    Full description at Econpapers || Download paper

  3. The future of Green energy: A panel study on the role of renewable resources in the transition to a Green economy. (2023). Li, Zeyun ; Binsaeed, Rima H ; Wang, Jia ; Nassani, Abdelmohsen A.
    In: Energy Economics.
    RePEc:eee:eneeco:v:127:y:2023:i:pb:s0140988323005248.

    Full description at Econpapers || Download paper

  4. Environmental Regulation, Roundabout Production, and Industrial Structure Transformation and Upgrading: Evidence from China. (2022). Yao, Huiqin ; Wei, Hanxiao.
    In: Sustainability.
    RePEc:gam:jsusta:v:14:y:2022:i:7:p:3810-:d:778066.

    Full description at Econpapers || Download paper

  5. Development of a Machine learning assessment method for renewable energy investment decision making. (2022). Zahedi, Rahim ; Izanloo, Milad ; Aslani, Alireza.
    In: Applied Energy.
    RePEc:eee:appene:v:327:y:2022:i:c:s0306261922013538.

    Full description at Econpapers || Download paper

  6. Predictive Control Algorithm for A Variable Load Hybrid Power System on the Basis of Power Output Forecast. (2022). Selivanov, Kirill V ; Mironov, Kirill S ; Isroilov, Jasur O ; Artemiev, Boris V ; Vlasov, Andrey I.
    In: International Journal of Energy Economics and Policy.
    RePEc:eco:journ2:2022-03-1.

    Full description at Econpapers || Download paper

  7. Risk Factors in a Logistics Company Using Renewable Energy Sources. (2021). Giera, Julia ; Kuliska, Ewa.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:23:p:8152-:d:695516.

    Full description at Econpapers || Download paper

  8. The Morphology and Differentiation of the Content of International Debate on Renewable Energy. A Bibliometric Analysis of Web of Science, Scopus, and Twitter. (2021). Sanak-Kosmowska, Katarzyna ; Wiktor, Jan W.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:21:p:7094-:d:668660.

    Full description at Econpapers || Download paper

  9. Are Religious Believers Irrational: A Direct Test from an Efficient Market Hypothesis. (2020). Chamil, Senarathne.
    In: Financial Sciences. Nauki o Finansach.
    RePEc:vrs:finsci:v:25:y:2020:i:1:p:35-53:n:4.

    Full description at Econpapers || Download paper

  10. A Test of Return Predictability in the Vietnamese Stock Market. (2020). Le, Thanh Trung ; Luong, Anh Tram.
    In: International Journal of Financial Research.
    RePEc:jfr:ijfr11:v:11:y:2020:i:2:p:390-404.

    Full description at Econpapers || Download paper

  11. Gob-Side Entry Retaining Involving Bag Filling Material for Support Wall Construction. (2020). Guo, Zhongping ; Du, Zhaowen ; Chen, Shaojie ; Ma, Junbiao ; Yin, Dawei.
    In: Sustainability.
    RePEc:gam:jsusta:v:12:y:2020:i:16:p:6353-:d:395745.

    Full description at Econpapers || Download paper

  12. Market efficiency and calendar anomalies in commodity futures markets: a review. (2020). Gupta, Mohit ; Chhabra, Damini.
    In: Agricultural Economics Research Review.
    RePEc:ags:aerrae:310330.

    Full description at Econpapers || Download paper

  13. The Effects of Relative Strength of USD and Overnight Policy Rate on Performance of Malaysian Stock Market – Evidence from 1980 through 2015. (2019). zainudin, zalina ; Abdul Hadi, Abdul Razak ; Hiung, Eddy Tat.
    In: Contemporary Economics.
    RePEc:wyz:journl:id:569.

    Full description at Econpapers || Download paper

  14. Validity of Weak-Form Market Efficiency in Central and Eastern European Countries (CEECs): Evidence from Linear and Nonlinear Unit Root Tests. (2019). Levent, Erdas Mehmet.
    In: Review of Economic Perspectives.
    RePEc:vrs:reoecp:v:19:y:2019:i:4:p:399-428:n:8.

    Full description at Econpapers || Download paper

  15. Analysis of Stock Market Efficiency in Emerging Markets: Evidence from BRICS. (2019). Kiran, Siva ; Rao, Prabhakar.
    In: Romanian Economic Journal.
    RePEc:rej:journl:v:22:y:2019:i:72:p:60-77.

    Full description at Econpapers || Download paper

  16. An information theory perspective on the informational efficiency of gold price. (2019). Sorrosal Forradellas, M. Teresa ; Fernandez Bariviera, Aurelio ; Sorrosal-Forradellas, Teresa M ; Rosso, Osvaldo A ; Font-Ferrer, Alejandro.
    In: The North American Journal of Economics and Finance.
    RePEc:eee:ecofin:v:50:y:2019:i:c:s1062940818304534.

    Full description at Econpapers || Download paper

  17. Validating Weak-form Market Efficiency in United States Stock Markets with Trend Deterministic Price Data and Machine Learning. (2019). Showalter, Samuel ; Gropp, Jeffrey.
    In: Papers.
    RePEc:arx:papers:1909.05151.

    Full description at Econpapers || Download paper

  18. Testing Random Walk and Market Efficiency: A Cross-Stock Market Analysis. (2018). .
    In: Foreign Trade Review.
    RePEc:sae:fortra:v:53:y:2018:i:4:p:225-238.

    Full description at Econpapers || Download paper

  19. Using fuzzy c-means clustering algorithm in financial health scoring. (2017). Gokten, Soner ; Baser, Furkan .
    In: The Audit Financiar journal.
    RePEc:aud:audfin:v:15:y:2017:i:147:p:385.

    Full description at Econpapers || Download paper

  20. Do Islamic stock indices perform better than conventional counterparts? An empirical investigation of sectoral efficiency. (2016). Rizvi, Syed Aun R. ; Alam, Nafis ; Arshad, Shaista.
    In: Review of Financial Economics.
    RePEc:wly:revfec:v:31:y:2016:i:1:p:108-114.

    Full description at Econpapers || Download paper

  21. An interactive approach to stochastic programming-based portfolio optimization. (2016). Koksalan, Murat ; Akar, Ceren Tuncer.
    In: Annals of Operations Research.
    RePEc:spr:annopr:v:245:y:2016:i:1:d:10.1007_s10479-014-1719-y.

    Full description at Econpapers || Download paper

  22. STYLIZED FACTS AND WEAK-FORM EFFICIENCY IN TURKISH STOCK MARKET. (2016). Karaduman, Hasan Aaan .
    In: Proceedings of International Academic Conferences.
    RePEc:sek:iacpro:4006651.

    Full description at Econpapers || Download paper

  23. Do Islamic stock indices perform better than conventional counterparts? An empirical investigation of sectoral efficiency. (2016). Rizvi, Syed Aun R. ; Alam, Nafis ; Aun, Syed ; Arshad, Shaista.
    In: Review of Financial Economics.
    RePEc:eee:revfin:v:31:y:2016:i:c:p:108-114.

    Full description at Econpapers || Download paper

  24. Does the Indian Stock Market Exhibit Random Walk?. (2015). Mallikarjunappa, T ; Dsouza, Janet Jyothi.
    In: Paradigm.
    RePEc:sae:padigm:v:19:y:2015:i:1:p:1-20.

    Full description at Econpapers || Download paper

  25. Testing The Random Walk Hypothesis: An Application in the BRIC Countries and Turkey. (2015). Gler, Sevin ; Nalan, Halime Temel .
    In: Romanian Economic Journal.
    RePEc:rej:journl:v:18:y:2015:i:55:p:129-148.

    Full description at Econpapers || Download paper

  26. Weak Form Efficiency of the Amman Stock Exchange: An Empirical Analysis (2000-2013). (2015). Eddien, Izz .
    In: International Journal of Business and Management.
    RePEc:ibn:ijbmjn:v:11:y:2015:i:1:p:173.

    Full description at Econpapers || Download paper

  27. The Euro and European stock market efficiency. (2014). Urquhart, Andrew.
    In: Applied Financial Economics.
    RePEc:taf:apfiec:v:24:y:2014:i:19:p:1235-1248.

    Full description at Econpapers || Download paper

  28. Assessing the efficiency of the MENA emerging stock markets: A sectoral perspective. (2014). Nguyen, Duc Khuong ; Aloui, Chaker ; Rejichi, Imen Zgueb .
    In: Working Papers.
    RePEc:ipg:wpaper:2014-78.

    Full description at Econpapers || Download paper

  29. Assessing the efficiency of the MENA emerging stock markets: A sectoral perspective. (2014). Rejichi, Imen Zgueb ; Aloui, Chaker.
    In: Working Papers.
    RePEc:ipg:wpaper:2014-078.

    Full description at Econpapers || Download paper

  30. Weak Form Market Efficiency During the 2008 Financial Crisis: Evidence from the Muscat Securities Market. (2014). al Kharusi, Sami ; Weagley, Robert O..
    In: The International Journal of Business and Finance Research.
    RePEc:ibf:ijbfre:v:8:y:2014:i:4:p:27-42.

    Full description at Econpapers || Download paper

  31. Evolving and relative efficiency of MENA stock markets: evidence from rolling joint variance ratio tests.. (2014). Ahmed, Amira Akl.
    In: Ensayos Revista de Economia.
    RePEc:ere:journl:v:xxxiii:y:2014:i:1:p:91-126.

    Full description at Econpapers || Download paper

  32. Re-examining the Turkish stock market efficiency: Evidence from nonlinear unit root tests. (2014). Nazlioglu, Saban ; Gozbasi, Onur ; Kucukkaplan, Ilhan.
    In: Economic Modelling.
    RePEc:eee:ecmode:v:38:y:2014:i:c:p:381-384.

    Full description at Econpapers || Download paper

  33. ¿Han sido los mercados bursátiles eficientes informacionalmente?. (2014). Juan Manuel Mascareñas Perez-iñigo, ; Juan Benjamin Duarte Duarte, .
    In: Apuntes del Cenes.
    RePEc:col:000152:013045.

    Full description at Econpapers || Download paper

  34. Comprobación de la eficiencia débil en los principales mercados financieros latinoamericanos. (2014). Juan Manuel Mascare?nas Perez-Iñigo, ; Juan Benjamin Duarte Duarte, .
    In: Estudios Gerenciales.
    RePEc:col:000129:012448.

    Full description at Econpapers || Download paper

  35. RANDOM WALK BEHAVIOR OF EMERGING STOCKS MARKETS: EVIDENCE FROM KARACHI STOCK EXCHANGE. (2014). Nawaz, SHEIKH Ali ; Muhammad, RIZWAN QAMAR .
    In: Studies in Business and Economics.
    RePEc:blg:journl:v:9:y:2014:i:3:p:97-106.

    Full description at Econpapers || Download paper

  36. .

    Full description at Econpapers || Download paper

  37. Middle Eastern stock markets: absolute, evolving and relative efficiency. (2013). Niemczak, Kinga ; Smith, Graham.
    In: Applied Financial Economics.
    RePEc:taf:apfiec:v:23:y:2013:i:3:p:181-198.

    Full description at Econpapers || Download paper

  38. Bulgarian stock market relative predictability: BSE-Sofia stocks and South East European markets. (2013). Smith, Graham ; Dyakova, Aneta .
    In: Applied Financial Economics.
    RePEc:taf:apfiec:v:23:y:2013:i:15:p:1257-1271.

    Full description at Econpapers || Download paper

  39. A stochastic programming approach to multicriteria portfolio optimization. (2013). Koksalan, Murat ; Akar, Ceren Tuncer.
    In: Journal of Global Optimization.
    RePEc:spr:jglopt:v:57:y:2013:i:2:p:299-314.

    Full description at Econpapers || Download paper

  40. Has the structural break slowed down growth rates of stock markets?. (2013). Narayan, Seema ; Mishra, Sagarika.
    In: Economic Modelling.
    RePEc:eee:ecmode:v:30:y:2013:i:c:p:595-601.

    Full description at Econpapers || Download paper

  41. The changing and relative efficiency of European emerging stock markets. (2012). Smith, Graham.
    In: The European Journal of Finance.
    RePEc:taf:eurjfi:v:18:y:2012:i:8:p:689-708.

    Full description at Econpapers || Download paper

  42. Asymmetric causality tests with an application. (2012). Hatemi-J, Abdulnasser ; Abdulnasser Hatemi-J, .
    In: Empirical Economics.
    RePEc:spr:empeco:v:43:y:2012:i:1:p:447-456.

    Full description at Econpapers || Download paper

  43. Variance ratios, structural breaks and nonrandom walk behaviour in the Indian stock returns. (2012). HIREMATH, GOURISHANKAR ; Bandi, Kamaiah.
    In: MPRA Paper.
    RePEc:pra:mprapa:48710.

    Full description at Econpapers || Download paper

  44. Technical analyses and order submission behaviors: Evidence from an emerging market. (2012). Wang, Zi-Mei ; Chang, Ya-Ting ; Chiao, Chaoshin.
    In: International Review of Economics & Finance.
    RePEc:eee:reveco:v:24:y:2012:i:c:p:109-128.

    Full description at Econpapers || Download paper

  45. Stock exchange mergers and weak form of market efficiency: The case of Euronext Lisbon. (2012). Vieito, João paulo ; Khan, Walayet.
    In: International Review of Economics & Finance.
    RePEc:eee:reveco:v:22:y:2012:i:1:p:173-189.

    Full description at Econpapers || Download paper

  46. Weak-form Market Efficiency and Calendar Anomalies for Eastern Europe Equity Markets. (2011). Gupta, Rakesh ; Guidi, Francesco.
    In: Journal of Emerging Market Finance.
    RePEc:sae:emffin:v:10:y:2011:i:3:p:337-389.

    Full description at Econpapers || Download paper

  47. Are ASEAN stock market efficient? Evidence from univariate and multivariate variance ratio tests. (2011). Gupta, Rakesh ; Guidi, Francesco.
    In: Discussion Papers in Finance.
    RePEc:gri:fpaper:finance:201113.

    Full description at Econpapers || Download paper

  48. Does infrequent trading make a difference on stock market efficiency?. (2011). Alkhazali, Osamah.
    In: Studies in Economics and Finance.
    RePEc:eme:sefpps:v:28:y:2011:i:2:p:96-110.

    Full description at Econpapers || Download paper

  49. Are GCC stock markets predictable?. (2011). Bley, Jorg.
    In: Emerging Markets Review.
    RePEc:eee:ememar:v:12:y:2011:i:3:p:217-237.

    Full description at Econpapers || Download paper

  50. Stock-market efficiency in thin-trading markets: the case of the Vietnamese stock market. (2010). lensink, robert ; Loc, Truong Dong ; Lanjouw, Ger .
    In: Applied Economics.
    RePEc:taf:applec:v:42:y:2010:i:27:p:3519-3532.

    Full description at Econpapers || Download paper

  51. An empirical investigation of the informational efficiency of the GCC equity markets: Evidence from bootstrap simulation. (2010). Hatemi-J, Abdulnasser ; Irandoust, Manuchehr ; Hatemi-J, Abdulnasser, ; Al Janabi, Mazin A. M., .
    In: International Review of Financial Analysis.
    RePEc:eee:finana:v:19:y:2010:i:1:p:47-54.

    Full description at Econpapers || Download paper

  52. Martingales in European emerging stock markets: Size, liquidity and market quality. (2009). Smith, Graham.
    In: The European Journal of Finance.
    RePEc:taf:eurjfi:v:15:y:2009:i:3:p:249-262.

    Full description at Econpapers || Download paper

  53. Efficiency of the Warsaw Stock Exchange: Analysis of Selected Properties. (2009). Matuszewska-Janica, Aleksandra ; Kompa, Krzysztof.
    In: International Advances in Economic Research.
    RePEc:kap:iaecre:v:15:y:2009:i:1:p:59-70:10.1007/s11294-008-9180-9.

    Full description at Econpapers || Download paper

  54. Efficiency of the Warsaw Stock Exchange: Analysis of Selected Properties. (2009). Kompa, Krzysztof ; Matuszewska-Janica, Aleksandra.
    In: International Advances in Economic Research.
    RePEc:kap:iaecre:v:15:y:2009:i:1:p:59-70.

    Full description at Econpapers || Download paper

  55. Long-run and short-run relationship between the main stock indexes: evidence from the Athens stock exchange. (2008). Patra, Theophano ; Poshakwale, Sunil.
    In: Applied Financial Economics.
    RePEc:taf:apfiec:v:18:y:2008:i:17:p:1401-1410.

    Full description at Econpapers || Download paper

  56. Is the Swedish stock market efficient? Evidence from some simple trading rules. (2008). Marcucci, Juri ; Chang, Yung-Ho ; Metghalchi, Massoud.
    In: International Review of Financial Analysis.
    RePEc:eee:finana:v:17:y:2008:i:3:p:475-490.

    Full description at Econpapers || Download paper

  57. Efficiency of the foreign exchange markets in South Asian Countries. (2008). Ahmed, Minhaz U ; Noman, Abullah M.
    In: AIUB Bus Econ Working Paper Series.
    RePEc:aiu:abewps:18.

    Full description at Econpapers || Download paper

  58. A comparison of variance ratio tests of random walk: A case of Asian emerging stock markets. (2007). Kim, Jae ; Hoque, Hafiz A. A. B., ; Pyun, Chong Soo.
    In: International Review of Economics & Finance.
    RePEc:eee:reveco:v:16:y:2007:i:4:p:488-502.

    Full description at Econpapers || Download paper

  59. Dynamic Efficiency in the East European Emerging Markets. (2005). .
    In: Asia-Pacific Financial Markets.
    RePEc:kap:apfinm:v:12:y:2005:i:2:p:159-179.

    Full description at Econpapers || Download paper

  60. Too much cocited documents. This list is not complete

Coauthors

Authors registered in RePEc who have wrote about the same topic

Report date: 2025-10-01 11:39:15 || Missing content? Let us know

CitEc is a RePEc service, providing citation data for Economics since 2001. Last updated August, 3 2024. Contact: Jose Manuel Barrueco.