Training on Social Trading (blended-learning)

The syllabus of this course covers:

- Learning and practicing behavioural aspects of social trading via the eToro platform

- Learning and practicing ethical aspects of social trading, especially in the context of market manipulation

- Critical analysis of social content on the eToro social trading platform, as well as other social media (e.g. reddit.com, discord.com)

- Learning to use in practice and in real time the eToro social trading platform knowingly and intentionally, especially with regard to risk, law and ethics

- Understanding advantages and disadvantages of investing via the social trading platforms

- Setting goals in trading and designing strategies to obtain them

- Observation of own emotions during strategy implementation and self-analysis while using the virtual portfolio on the eToro platform in real time

- Recommending solutions and areas of improvement

After the training the student is supposed to understand practical, legal and ethical aspects of invest

Students learn behavioural and ethical aspects of social trading in practice. The course uses the eToro social trading platform (virtual portfolio) to let students experience and practise trading on real markets in real time. Therefore - as more practical training - this course is complimentary to other courses teaching theory of financial investing. In this course students set investment goals, design appropriate investment strategies and test them via the eToro social trading platform. Students have opportunity to experience, observe and analyse their own emotions accompanying trading on the platform. Based on that they carry out behavioural self-analyses and form recommendations regarding own and others' trading actions.

Students learn about contemporary financial markets, especially in terms of information and communication. They are guided through intricacies of possibilities, threats as well as new behaviours and attitudes to stand firmly on the ground of law and ethics in their future endeavours. Students analyse information available via new media with regard to its reliability as well as the legal and ethical aspects.

Literatura podstawowa:

1. Pelster, Matthias, and Annette Hofmann. "About the fear of reputational loss: Social trading and the disposition effect." Journal of Banking & Finance 94 (2018): 75-88.

2. Wohlgemuth, Veit, Elisabeth SC Berger, and Matthias Wenzel. "More than just financial performance: Trusting investors in social trading." Journal of Business Research 69.11 (2016): 4970-4974.

3. Glaser, Florian, and Marten Risius. "Effects of transparency: analyzing social biases on trader performance in social trading." Journal of Information Technology 33.1 (2018): 19-30.

4. Röder, Florian, and Andreas Walter. "What drives investment flows into social trading portfolios?." Journal of Financial Research 42.2 (2019): 383-411.

5. Pelster, Matthias, and Bastian Breitmayer. "Attracting attention from peers: Excitement in social trading." Journal of Economic Behavior & Organization 161 (2019): 158-179.

6. Dorfleitner, Gregor, et al. "To follow or not to follow - An empirical analysis of the returns of actors on social trading platforms." The Quarterly Review of Economics and Finance 70 (2018): 160-171.

7. Kromidha, Endrit, and Matthew C. Li. "Determinants of leadership in online social trading: A signaling theory perspective." Journal of Business Research 97 (2019): 184-197.

8. Lee, Woonyeol, and Qiang Ma. "Discovering expert traders on social trading services." Journal of Advanced Computational Intelligence and Intelligent Informatics 22.2 (2018): 224-235.

9. Pan, Wei, Yaniv Altshuler, and Alex Pentland. "Decoding social influence and the wisdom of the crowd in financial trading network." 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing. IEEE, 2012.

10. Altshuler, Yaniv, Wei Pan, and Alex Sandy Pentland. "Trends prediction using social diffusion models." International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction. Springer, Berlin, Heidelberg, 2012.

11. Doering, Philipp, Sascha Neumann, and Stephan Paul. "A primer on social trading networks-institutional aspects and empirical evidence." EFMA annual meetings. 2015.

12. Apesteguia, Jose, Jörg Oechssler, and Simon Weidenholzer. "Copy trading." Management Science (2020).

13. Lu, Juye Shirley. To mirror or not to mirror: modeling relationships in social trading. Diss. Massachusetts Institute of Technology, 2017.

14. Yang, Mingwen, Eric Zheng, and Vijay Mookerjee. "The Transparency-Revenue Conundrum in Social Trading: Implications for Platforms and Investors."

15. Sandberg, Joakim. "The ethics of investing. Making money or making a difference". 2008.

16. Mackenzie, Craig, and Alan Lewis. "Morals and markets: the case of ethical investing." Business Ethics Quarterly (1999): 439-452.

17. Fletcher, Gina-Gail S. "Macroeconomic Consequences of Market Manipulation." Law & Contemp. Probs. 83 (2020): 123.

18. Cumming, Douglas, et al. "Market manipulation and innovation." Journal of Banking & Finance 120 (2020): 105957.

19. La Morgia, Massimo, et al. "Pump and Dumps in the Bitcoin Era: Real Time Detection of Cryptocurrency Market Manipulations." 2020 29th International Conference on Computer Communications and Networks (ICCCN). IEEE, 2020.

20. Li, Tao, Donghwa Shin, and Baolian Wang. "Cryptocurrency pump-and-dump schemes." Available at SSRN 3267041 (2020).

21. Durston, Gregory. "Muddying the waters: when does short selling become market manipulation?." Journal of Financial Crime (2021).

Literatura uzupełniająca:

1. Assia, Johnathan Alexander. "System and method for facilitating social trading." U.S. Patent Application No. 14/427,718.

2. Gemayel, Roland, and Alex Preda. "Does a scopic regime erode the disposition effect? Evidence from a social trading platform." Journal of Economic Behavior & Organization 154 (2018): 175-190.

3. Volpe, Ronald P., Haiyang Chen, and Sheen Liu. "An analysis of the importance of personal finance topics and the level of knowledge possessed by working adults." Financial services review 15.1 (2006): 81.

4. Farrell, Lisa, Tim RL Fry, and Leonora Risse. "The significance of financial self-efficacy in explaining women?s personal finance behaviour." Journal of Economic Psychology 54 (2016): 85-99.

5. Haber, Michael. "Social Trading, a new attractive investment opportunity or an unforeseeable risk?." (master thesis available via Google Scholar).

6. Golmohammadi, Koosha, Osmar R. Zaiane, and David Díaz. "Detecting stock market manipulation using supervised learning algorithms." 2014 International Conference on Data Science and Advanced Analytics (DSAA). IEEE, 2014.

Publikacje własne:

Magdalena Cicharska, dr hab. Marta Maciejasz-Świątkiewicz, dr hab. Marta Maciejasz-Świątkiewicz, Edukacja finansowa : ,2016;

, red. Magdalena Cicharska, Bankowość mobilna ,2017;

Magdalena Cicharska, Paulina Styczeń, Katarzyna Szaro, Sharing economy : modele biznesowe w stronę równości czy rozwarstwienia ,2018

Kryteria oceniania:

egzamin tradycyjny-pisemny: 0.00%

egzamin testowy: 0.00%

egzamin ustny: 0.00%

kolokwium: 0.00%

inne: 0.00%

projekty: 100.00%

The syllabus of this course covers:

- Learning and practicing behavioural aspects of social trading via the eToro platform

- Learning and practicing ethical aspects of social trading, especially in the context of market manipulation

- Critical analysis of social content on the eToro social trading platform, as well as other social media (e.g. reddit.com, discord.com)

- Learning to use in practice and in real time the eToro social trading platform knowingly and intentionally, especially with regard to risk, law and ethics

- Understanding advantages and disadvantages of investing via the social trading platforms

- Setting goals in trading and designing strategies to obtain them

- Observation of own emotions during strategy implementation and self-analysis while using the virtual portfolio on the eToro platform in real time

- Recommending solutions and areas of improvement

After the training the student is supposed to understand practical, legal and ethical aspects of invest

Students learn behavioural and ethical aspects of social trading in practice. The course uses the eToro social trading platform (virtual portfolio) to let students experience and practise trading on real markets in real time. Therefore - as more practical training - this course is complimentary to other courses teaching theory of financial investing. In this course students set investment goals, design appropriate investment strategies and test them via the eToro social trading platform. Students have opportunity to experience, observe and analyse their own emotions accompanying trading on the platform. Based on that they carry out behavioural self-analyses and form recommendations regarding own and others' trading actions.

Students learn about contemporary financial markets, especially in terms of information and communication. They are guided through intricacies of possibilities, threats as well as new behaviours and attitudes to stand firmly on the ground of law and ethics in their future endeavours. Students analyse information available via new media with regard to its reliability as well as the legal and ethical aspects.

Literatura podstawowa:

1. Pelster, Matthias, and Annette Hofmann. "About the fear of reputational loss: Social trading and the disposition effect." Journal of Banking & Finance 94 (2018): 75-88.

2. Wohlgemuth, Veit, Elisabeth SC Berger, and Matthias Wenzel. "More than just financial performance: Trusting investors in social trading." Journal of Business Research 69.11 (2016): 4970-4974.

3. Glaser, Florian, and Marten Risius. "Effects of transparency: analyzing social biases on trader performance in social trading." Journal of Information Technology 33.1 (2018): 19-30.

4. Röder, Florian, and Andreas Walter. "What drives investment flows into social trading portfolios?." Journal of Financial Research 42.2 (2019): 383-411.

5. Pelster, Matthias, and Bastian Breitmayer. "Attracting attention from peers: Excitement in social trading." Journal of Economic Behavior & Organization 161 (2019): 158-179.

6. Dorfleitner, Gregor, et al. "To follow or not to follow - An empirical analysis of the returns of actors on social trading platforms." The Quarterly Review of Economics and Finance 70 (2018): 160-171.

7. Kromidha, Endrit, and Matthew C. Li. "Determinants of leadership in online social trading: A signaling theory perspective." Journal of Business Research 97 (2019): 184-197.

8. Lee, Woonyeol, and Qiang Ma. "Discovering expert traders on social trading services." Journal of Advanced Computational Intelligence and Intelligent Informatics 22.2 (2018): 224-235.

9. Pan, Wei, Yaniv Altshuler, and Alex Pentland. "Decoding social influence and the wisdom of the crowd in financial trading network." 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing. IEEE, 2012.

10. Altshuler, Yaniv, Wei Pan, and Alex Sandy Pentland. "Trends prediction using social diffusion models." International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction. Springer, Berlin, Heidelberg, 2012.

11. Doering, Philipp, Sascha Neumann, and Stephan Paul. "A primer on social trading networks-institutional aspects and empirical evidence." EFMA annual meetings. 2015.

12. Apesteguia, Jose, Jörg Oechssler, and Simon Weidenholzer. "Copy trading." Management Science (2020).

13. Lu, Juye Shirley. To mirror or not to mirror: modeling relationships in social trading. Diss. Massachusetts Institute of Technology, 2017.

14. Yang, Mingwen, Eric Zheng, and Vijay Mookerjee. "The Transparency-Revenue Conundrum in Social Trading: Implications for Platforms and Investors."

15. Sandberg, Joakim. "The ethics of investing. Making money or making a difference". 2008.

16. Mackenzie, Craig, and Alan Lewis. "Morals and markets: the case of ethical investing." Business Ethics Quarterly (1999): 439-452.

17. Fletcher, Gina-Gail S. "Macroeconomic Consequences of Market Manipulation." Law & Contemp. Probs. 83 (2020): 123.

18. Cumming, Douglas, et al. "Market manipulation and innovation." Journal of Banking & Finance 120 (2020): 105957.

19. La Morgia, Massimo, et al. "Pump and Dumps in the Bitcoin Era: Real Time Detection of Cryptocurrency Market Manipulations." 2020 29th International Conference on Computer Communications and Networks (ICCCN). IEEE, 2020.

20. Li, Tao, Donghwa Shin, and Baolian Wang. "Cryptocurrency pump-and-dump schemes." Available at SSRN 3267041 (2020).

21. Durston, Gregory. "Muddying the waters: when does short selling become market manipulation?." Journal of Financial Crime (2021).

Literatura uzupełniająca:

1. Assia, Johnathan Alexander. "System and method for facilitating social trading." U.S. Patent Application No. 14/427,718.

2. Gemayel, Roland, and Alex Preda. "Does a scopic regime erode the disposition effect? Evidence from a social trading platform." Journal of Economic Behavior & Organization 154 (2018): 175-190.

3. Volpe, Ronald P., Haiyang Chen, and Sheen Liu. "An analysis of the importance of personal finance topics and the level of knowledge possessed by working adults." Financial services review 15.1 (2006): 81.

4. Farrell, Lisa, Tim RL Fry, and Leonora Risse. "The significance of financial self-efficacy in explaining women?s personal finance behaviour." Journal of Economic Psychology 54 (2016): 85-99.

5. Haber, Michael. "Social Trading, a new attractive investment opportunity or an unforeseeable risk?." (master thesis available via Google Scholar).

6. Golmohammadi, Koosha, Osmar R. Zaiane, and David Díaz. "Detecting stock market manipulation using supervised learning algorithms." 2014 International Conference on Data Science and Advanced Analytics (DSAA). IEEE, 2014.

Publikacje własne:

Magdalena Cicharska, Paulina Styczeń, Katarzyna Szaro, Sharing economy : modele biznesowe w stronę równości czy rozwarstwienia ,2018;

, red. Magdalena Cicharska, Bankowość mobilna ,2017;

Magdalena Cicharska, dr hab. Marta Maciejasz-Świątkiewicz, dr hab. Marta Maciejasz-Świątkiewicz, Edukacja finansowa : ,2016

Kryteria oceniania:

egzamin tradycyjny-pisemny: 0.00%

egzamin testowy: 0.00%

egzamin ustny: 0.00%

kolokwium: 0.00%

referaty/eseje: 50.00%

ocena z ćwiczeń: 50.00%

inne: 0.00%

The syllabus of this course covers:

- Learning and practicing behavioural aspects of social trading via the eToro platform

- Learning and practicing ethical aspects of social trading, especially in the context of market manipulation

- Critical analysis of social content on the eToro social trading platform, as well as other social media (e.g. reddit.com, discord.com)

- Learning to use in practice and in real time the eToro social trading platform knowingly and intentionally, especially with regard to risk, law and ethics

- Understanding advantages and disadvantages of investing via the social trading platforms

- Setting goals in trading and designing strategies to obtain them

- Observation of own emotions during strategy implementation and self-analysis while using the virtual portfolio on the eToro platform in real time

- Recommending solutions and areas of improvement

After the training the student is supposed to understand practical, legal and ethical aspects of invest

Students learn behavioural and ethical aspects of social trading in practice. The course uses the eToro social trading platform (virtual portfolio) to let students experience and practise trading on real markets in real time. Therefore - as more practical training - this course is complimentary to other courses teaching theory of financial investing. In this course students set investment goals, design appropriate investment strategies and test them via the eToro social trading platform. Students have opportunity to experience, observe and analyse their own emotions accompanying trading on the platform. Based on that they carry out behavioural self-analyses and form recommendations regarding own and others' trading actions.

Students learn about contemporary financial markets, especially in terms of information and communication. They are guided through intricacies of possibilities, threats as well as new behaviours and attitudes to stand firmly on the ground of law and ethics in their future endeavours. Students analyse information available via new media with regard to its reliability as well as the legal and ethical aspects.

Literatura podstawowa:

1. Pelster, Matthias, and Annette Hofmann. "About the fear of reputational loss: Social trading and the disposition effect." Journal of Banking & Finance 94 (2018): 75-88.

2. Wohlgemuth, Veit, Elisabeth SC Berger, and Matthias Wenzel. "More than just financial performance: Trusting investors in social trading." Journal of Business Research 69.11 (2016): 4970-4974.

3. Glaser, Florian, and Marten Risius. "Effects of transparency: analyzing social biases on trader performance in social trading." Journal of Information Technology 33.1 (2018): 19-30.

4. Röder, Florian, and Andreas Walter. "What drives investment flows into social trading portfolios?." Journal of Financial Research 42.2 (2019): 383-411.

5. Pelster, Matthias, and Bastian Breitmayer. "Attracting attention from peers: Excitement in social trading." Journal of Economic Behavior & Organization 161 (2019): 158-179.

6. Dorfleitner, Gregor, et al. "To follow or not to follow - An empirical analysis of the returns of actors on social trading platforms." The Quarterly Review of Economics and Finance 70 (2018): 160-171.

7. Kromidha, Endrit, and Matthew C. Li. "Determinants of leadership in online social trading: A signaling theory perspective." Journal of Business Research 97 (2019): 184-197.

8. Lee, Woonyeol, and Qiang Ma. "Discovering expert traders on social trading services." Journal of Advanced Computational Intelligence and Intelligent Informatics 22.2 (2018): 224-235.

9. Pan, Wei, Yaniv Altshuler, and Alex Pentland. "Decoding social influence and the wisdom of the crowd in financial trading network." 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing. IEEE, 2012.

10. Altshuler, Yaniv, Wei Pan, and Alex Sandy Pentland. "Trends prediction using social diffusion models." International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction. Springer, Berlin, Heidelberg, 2012.

11. Doering, Philipp, Sascha Neumann, and Stephan Paul. "A primer on social trading networks-institutional aspects and empirical evidence." EFMA annual meetings. 2015.

12. Apesteguia, Jose, Jörg Oechssler, and Simon Weidenholzer. "Copy trading." Management Science (2020).

13. Lu, Juye Shirley. To mirror or not to mirror: modeling relationships in social trading. Diss. Massachusetts Institute of Technology, 2017.

14. Yang, Mingwen, Eric Zheng, and Vijay Mookerjee. "The Transparency-Revenue Conundrum in Social Trading: Implications for Platforms and Investors."

15. Sandberg, Joakim. "The ethics of investing. Making money or making a difference". 2008.

16. Mackenzie, Craig, and Alan Lewis. "Morals and markets: the case of ethical investing." Business Ethics Quarterly (1999): 439-452.

17. Fletcher, Gina-Gail S. "Macroeconomic Consequences of Market Manipulation." Law & Contemp. Probs. 83 (2020): 123.

18. Cumming, Douglas, et al. "Market manipulation and innovation." Journal of Banking & Finance 120 (2020): 105957.

19. La Morgia, Massimo, et al. "Pump and Dumps in the Bitcoin Era: Real Time Detection of Cryptocurrency Market Manipulations." 2020 29th International Conference on Computer Communications and Networks (ICCCN). IEEE, 2020.

20. Li, Tao, Donghwa Shin, and Baolian Wang. "Cryptocurrency pump-and-dump schemes." Available at SSRN 3267041 (2020).

21. Durston, Gregory. "Muddying the waters: when does short selling become market manipulation?." Journal of Financial Crime (2021).

Literatura uzupełniająca:

1. Assia, Johnathan Alexander. "System and method for facilitating social trading." U.S. Patent Application No. 14/427,718.

2. Gemayel, Roland, and Alex Preda. "Does a scopic regime erode the disposition effect? Evidence from a social trading platform." Journal of Economic Behavior & Organization 154 (2018): 175-190.

3. Volpe, Ronald P., Haiyang Chen, and Sheen Liu. "An analysis of the importance of personal finance topics and the level of knowledge possessed by working adults." Financial services review 15.1 (2006): 81.

4. Farrell, Lisa, Tim RL Fry, and Leonora Risse. "The significance of financial self-efficacy in explaining women?s personal finance behaviour." Journal of Economic Psychology 54 (2016): 85-99.

5. Haber, Michael. "Social Trading, a new attractive investment opportunity or an unforeseeable risk?." (master thesis available via Google Scholar).

6. Golmohammadi, Koosha, Osmar R. Zaiane, and David Díaz. "Detecting stock market manipulation using supervised learning algorithms." 2014 International Conference on Data Science and Advanced Analytics (DSAA). IEEE, 2014.

Publikacje własne:

Magdalena Cicharska, Paulina Styczeń, Katarzyna Szaro, Sharing economy : modele biznesowe w stronę równości czy rozwarstwienia ,2018;

, red. Magdalena Cicharska, Bankowość mobilna ,2017;

Magdalena Cicharska, dr hab. Marta Maciejasz-Świątkiewicz, dr hab. Marta Maciejasz-Świątkiewicz, Edukacja finansowa : ,2016

Kryteria oceniania:

egzamin tradycyjny-pisemny: 0.00%

egzamin testowy: 0.00%

egzamin ustny: 0.00%

kolokwium: 0.00%

referaty/eseje: 50.00%

ocena z ćwiczeń: 50.00%

inne: 0.00%

The syllabus of this course covers:

- Learning and practicing behavioural aspects of social trading via the eToro platform

- Learning and practicing ethical aspects of social trading, especially in the context of market manipulation

- Critical analysis of social content on the eToro social trading platform, as well as other social media (e.g. reddit.com, discord.com)

- Learning to use in practice and in real time the eToro social trading platform knowingly and intentionally, especially with regard to risk, law and ethics

- Understanding advantages and disadvantages of investing via the social trading platforms

- Setting goals in trading and designing strategies to obtain them

- Observation of own emotions during strategy implementation and self-analysis while using the virtual portfolio on the eToro platform in real time

- Recommending solutions and areas of improvement

After the training the student is supposed to understand practical, legal and ethical aspects of invest

Students learn behavioural and ethical aspects of social trading in practice. The course uses the eToro social trading platform (virtual portfolio) to let students experience and practise trading on real markets in real time. Therefore - as more practical training - this course is complimentary to other courses teaching theory of financial investing. In this course students set investment goals, design appropriate investment strategies and test them via the eToro social trading platform. Students have opportunity to experience, observe and analyse their own emotions accompanying trading on the platform. Based on that they carry out behavioural self-analyses and form recommendations regarding own and others' trading actions.

Students learn about contemporary financial markets, especially in terms of information and communication. They are guided through intricacies of possibilities, threats as well as new behaviours and attitudes to stand firmly on the ground of law and ethics in their future endeavours. Students analyse information available via new media with regard to its reliability as well as the legal and ethical aspects.

Literatura podstawowa:

1. Pelster, Matthias, and Annette Hofmann. "About the fear of reputational loss: Social trading and the disposition effect." Journal of Banking & Finance 94 (2018): 75-88.

2. Wohlgemuth, Veit, Elisabeth SC Berger, and Matthias Wenzel. "More than just financial performance: Trusting investors in social trading." Journal of Business Research 69.11 (2016): 4970-4974.

3. Glaser, Florian, and Marten Risius. "Effects of transparency: analyzing social biases on trader performance in social trading." Journal of Information Technology 33.1 (2018): 19-30.

4. Röder, Florian, and Andreas Walter. "What drives investment flows into social trading portfolios?." Journal of Financial Research 42.2 (2019): 383-411.

5. Pelster, Matthias, and Bastian Breitmayer. "Attracting attention from peers: Excitement in social trading." Journal of Economic Behavior & Organization 161 (2019): 158-179.

6. Dorfleitner, Gregor, et al. "To follow or not to follow - An empirical analysis of the returns of actors on social trading platforms." The Quarterly Review of Economics and Finance 70 (2018): 160-171.

7. Kromidha, Endrit, and Matthew C. Li. "Determinants of leadership in online social trading: A signaling theory perspective." Journal of Business Research 97 (2019): 184-197.

8. Lee, Woonyeol, and Qiang Ma. "Discovering expert traders on social trading services." Journal of Advanced Computational Intelligence and Intelligent Informatics 22.2 (2018): 224-235.

9. Pan, Wei, Yaniv Altshuler, and Alex Pentland. "Decoding social influence and the wisdom of the crowd in financial trading network." 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing. IEEE, 2012.

10. Altshuler, Yaniv, Wei Pan, and Alex Sandy Pentland. "Trends prediction using social diffusion models." International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction. Springer, Berlin, Heidelberg, 2012.

11. Doering, Philipp, Sascha Neumann, and Stephan Paul. "A primer on social trading networks-institutional aspects and empirical evidence." EFMA annual meetings. 2015.

12. Apesteguia, Jose, Jörg Oechssler, and Simon Weidenholzer. "Copy trading." Management Science (2020).

13. Lu, Juye Shirley. To mirror or not to mirror: modeling relationships in social trading. Diss. Massachusetts Institute of Technology, 2017.

14. Yang, Mingwen, Eric Zheng, and Vijay Mookerjee. "The Transparency-Revenue Conundrum in Social Trading: Implications for Platforms and Investors."

15. Sandberg, Joakim. "The ethics of investing. Making money or making a difference". 2008.

16. Mackenzie, Craig, and Alan Lewis. "Morals and markets: the case of ethical investing." Business Ethics Quarterly (1999): 439-452.

17. Fletcher, Gina-Gail S. "Macroeconomic Consequences of Market Manipulation." Law & Contemp. Probs. 83 (2020): 123.

18. Cumming, Douglas, et al. "Market manipulation and innovation." Journal of Banking & Finance 120 (2020): 105957.

19. La Morgia, Massimo, et al. "Pump and Dumps in the Bitcoin Era: Real Time Detection of Cryptocurrency Market Manipulations." 2020 29th International Conference on Computer Communications and Networks (ICCCN). IEEE, 2020.

20. Li, Tao, Donghwa Shin, and Baolian Wang. "Cryptocurrency pump-and-dump schemes." Available at SSRN 3267041 (2020).

21. Durston, Gregory. "Muddying the waters: when does short selling become market manipulation?." Journal of Financial Crime (2021).

Literatura uzupełniająca:

1. Assia, Johnathan Alexander. "System and method for facilitating social trading." U.S. Patent Application No. 14/427,718.

2. Gemayel, Roland, and Alex Preda. "Does a scopic regime erode the disposition effect? Evidence from a social trading platform." Journal of Economic Behavior & Organization 154 (2018): 175-190.

3. Volpe, Ronald P., Haiyang Chen, and Sheen Liu. "An analysis of the importance of personal finance topics and the level of knowledge possessed by working adults." Financial services review 15.1 (2006): 81.

4. Farrell, Lisa, Tim RL Fry, and Leonora Risse. "The significance of financial self-efficacy in explaining women?s personal finance behaviour." Journal of Economic Psychology 54 (2016): 85-99.

5. Haber, Michael. "Social Trading, a new attractive investment opportunity or an unforeseeable risk?." (master thesis available via Google Scholar).

6. Golmohammadi, Koosha, Osmar R. Zaiane, and David Díaz. "Detecting stock market manipulation using supervised learning algorithms." 2014 International Conference on Data Science and Advanced Analytics (DSAA). IEEE, 2014.

Publikacje własne:

Magdalena Cicharska, Paulina Styczeń, Katarzyna Szaro, Sharing economy : modele biznesowe w stronę równości czy rozwarstwienia ,2018;

, red. Magdalena Cicharska, Bankowość mobilna ,2017;

Magdalena Cicharska, dr hab. Marta Maciejasz-Świątkiewicz, dr hab. Marta Maciejasz-Świątkiewicz, Edukacja finansowa : ,2016

Kryteria oceniania:

egzamin tradycyjny-pisemny: 0.00%

egzamin testowy: 0.00%

egzamin ustny: 0.00%

kolokwium: 0.00%

referaty/eseje: 50.00%

ocena z ćwiczeń: 50.00%

inne: 0.00%

The syllabus of this course covers:

- Learning and practicing behavioural aspects of social trading via the eToro platform

- Learning and practicing ethical aspects of social trading, especially in the context of market manipulation

- Critical analysis of social content on the eToro social trading platform, as well as other social media (e.g. reddit.com, discord.com)

- Learning to use in practice and in real time the eToro social trading platform knowingly and intentionally, especially with regard to risk, law and ethics

- Understanding advantages and disadvantages of investing via the social trading platforms

- Setting goals in trading and designing strategies to obtain them

- Observation of own emotions during strategy implementation and self-analysis while using the virtual portfolio on the eToro platform in real time

- Recommending solutions and areas of improvement

After the training the student is supposed to understand practical, legal and ethical aspects of invest

Students learn behavioural and ethical aspects of social trading in practice. The course uses the eToro social trading platform (virtual portfolio) to let students experience and practise trading on real markets in real time. Therefore - as more practical training - this course is complimentary to other courses teaching theory of financial investing. In this course students set investment goals, design appropriate investment strategies and test them via the eToro social trading platform. Students have opportunity to experience, observe and analyse their own emotions accompanying trading on the platform. Based on that they carry out behavioural self-analyses and form recommendations regarding own and others' trading actions.

Students learn about contemporary financial markets, especially in terms of information and communication. They are guided through intricacies of possibilities, threats as well as new behaviours and attitudes to stand firmly on the ground of law and ethics in their future endeavours. Students analyse information available via new media with regard to its reliability as well as the legal and ethical aspects.

Literatura podstawowa:

1. Pelster, Matthias, and Annette Hofmann. "About the fear of reputational loss: Social trading and the disposition effect." Journal of Banking & Finance 94 (2018): 75-88.

2. Wohlgemuth, Veit, Elisabeth SC Berger, and Matthias Wenzel. "More than just financial performance: Trusting investors in social trading." Journal of Business Research 69.11 (2016): 4970-4974.

3. Glaser, Florian, and Marten Risius. "Effects of transparency: analyzing social biases on trader performance in social trading." Journal of Information Technology 33.1 (2018): 19-30.

4. Röder, Florian, and Andreas Walter. "What drives investment flows into social trading portfolios?." Journal of Financial Research 42.2 (2019): 383-411.

5. Pelster, Matthias, and Bastian Breitmayer. "Attracting attention from peers: Excitement in social trading." Journal of Economic Behavior & Organization 161 (2019): 158-179.

6. Dorfleitner, Gregor, et al. "To follow or not to follow - An empirical analysis of the returns of actors on social trading platforms." The Quarterly Review of Economics and Finance 70 (2018): 160-171.

7. Kromidha, Endrit, and Matthew C. Li. "Determinants of leadership in online social trading: A signaling theory perspective." Journal of Business Research 97 (2019): 184-197.

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Literatura uzupełniająca:

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Publikacje własne:

Magdalena Cicharska, Paulina Styczeń, Katarzyna Szaro, Sharing economy : modele biznesowe w stronę równości czy rozwarstwienia ,2018;

, red. Magdalena Cicharska, Bankowość mobilna ,2017;

Magdalena Cicharska, dr hab. Marta Maciejasz-Świątkiewicz, dr hab. Marta Maciejasz-Świątkiewicz, Edukacja finansowa : ,2016

Kryteria oceniania:

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egzamin testowy: 0.00%

egzamin ustny: 0.00%

kolokwium: 0.00%

referaty/eseje: 50.00%

ocena z ćwiczeń: 50.00%

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