Refine your search
Collections
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Broby, Daniel
- The Role of Precision Timing in Stock Market Price Discovery when Trading through Distributed Ledgers
Abstract Views :301 |
PDF Views:142
Authors
Affiliations
1 Strathclyde Business School, Strathclyde University, 199 Cathederal Street, Glasgow G40QU, Scotland, GB
1 Strathclyde Business School, Strathclyde University, 199 Cathederal Street, Glasgow G40QU, Scotland, GB
Source
Journal of Business Thought, Vol 10, No 0 (2019), Pagination: 1-8Abstract
This paper investigates the importance of “time of execution” and the relevance of “precision time” in order driven transactions done over distributed ledgers. We created a distributed market place using stock market price data from the Toronto Stock Exchange (TMX). We then proceeded to test and measure the impact of timing of orders at the nanosecond level. Whilst price discovery in order driven markets is done instantaneously, with distributed markets, it is necessary to know which order to process first to avoid “front-running”. We argue that a protocol for the time of order of receipt and execution should be subject to nanosecond stacking. Our approach incorporates both transitory and permanent price discovery components. It allows for the efficient processing of transactions and the order that are received by a market clearing distributed ledger.Keywords
Clearing, Coordinated Universal Time, Distributed Ledger, FinTech, High Frequency Trading, Precision Time, Price Discovery, Settlement, Stock Market, Timestamping.References
- Bayer D, Haber S, Scott Stornetta W. Improving the efficiency and reliability of digital timestamping. Sequences II: Methods in Communication, Security and Computer Science. 1993:329–34.
- Benaloh J, De Mare M. Efficient broadcast time-stamping. Clarkson University: Department of Mathematics and Computer Science TR; 1991. p. 91–101.
- Bernhardt D, Taub B. Front-running dynamics. JET. 2008; 138(1):288–96. https://doi.org/10.1016/j.jet.2007.05.005
- Broby D, Paul G. The financial auditing of distributed ledgers, blockchain and cryptocurrencies. Journal of Financial Transformation. 2017; 46:76–88.
- Brogaard J, Hendershott T, Riordan R. High-frequency trading and price discovery. Rev Financ Stud. 2014; 27(8):2267–306. https://doi.org/10.1093/rfs/hhu032
- Goodhart CAE, O’Hara M. High frequency data in financial markets: Issues and applications. J Empir Financ. 1997; 4(2):73–114.
- Haber S, Stornetta WS. How to timestamp a digital document. Conference on the Theory and Application of Cryptography; Berlin, Heidelberg: Springer; 1990. p. 437–55.
- Hagstromer B, Norden L. The diversity of high-frequency traders. J Fin Markets. 2013; 16(4):741–70. https://doi.org/10.1016/j.finmar.2013.05.009
- Hasbrouck J. One security, many markets: Determining the contributions to price discovery. JOF. 1995; 50(4):1175– 99. https://doi.org/10.1111/j.1540-6261.1995.tb04054.x
- Hendershott T, Menkveld AJ. Price pressures. J Financ Econ. 2014; 114(3):405–23. https://doi.org/10.1016/j.jfineco.2014.08.001
- Madhavan A. Market microstructure: A survey. J Fin Markets. 2000; 3(3): 205–58. https://doi.org/10.1016/S1386-4181(00)00007-0
- Mainelli M, Smith M. Sharing ledgers for sharing economies: An exploration of mutual distributed ledgers (aka blockchain technology). The Journal of Financial Perspectives. 2015; 3(3):38–69.
- Massacci F, Ngo N, Nie J, Venturi D, Williams J. FuturesMEX: Secure distributed, futures market exchange. Unpublished Journal Submission. 2017.
- Menkveld AJ, Koopman SJ, Lucas A. Modeling aroundthe-clock price discovery for cross-listed stocks using state space methods. J Bus Econ Stat. 2007; 25(2):213–25. https://doi.org/10.1198/073500106000000594
- Pinna A, Ruttenberg W. Distributed ledger technologies in securities post-trading revolution or evolution? 2016.
- A Decentralized Marketing Model for the Online Accommodation Rental Market
Abstract Views :166 |
Authors
Affiliations
1 Professor, Department of Accounting, Finance and Economics, Ulster University, Belfast Campus, BT15 1ED, Northern Ireland, IE
2 Lecturer, Department of Computing and Mathematics, Stirling University, Stirling, FK9 4LA, Scotland, GB
3 PhD. Research Scholar, Department of Computer Sciences, Ibn Tofail University, Kenitra, 14000, Morocco, MA
1 Professor, Department of Accounting, Finance and Economics, Ulster University, Belfast Campus, BT15 1ED, Northern Ireland, IE
2 Lecturer, Department of Computing and Mathematics, Stirling University, Stirling, FK9 4LA, Scotland, GB
3 PhD. Research Scholar, Department of Computer Sciences, Ibn Tofail University, Kenitra, 14000, Morocco, MA
Source
Journal of Business Thought, Vol 13, No 0 (2022), Pagination: 1-12Abstract
This paper presents an infrastructure redesign of the online accommodation rental marketing model. The decentralized marketplace it proposes represents a significant Business Model Innovation (BMI) and a new normative marketing tool. We suggest it has the potential to be disruptive from an International Marketing (IM) perspective, shifting the focus from owners as agents, to a shared one with renters and agents. This is supportive of the paradigm where marketing is focused on facilitating and maintaining relationships. Using code that we developed, we illustrate how a decentralized application (dAirBnB) can promote disintermediation and can be built to optimize price discovery. Utilizing block chain technology, we show how trust originates from the distributed consensus enforced by a network of peers. This trusted interaction is facilitated between untrusted parties over the internet, thereby changing the marketing relationship. In this respect, the application and the business model are inextricably linked. Enabled by the technology, we propose a monetization of reputation, which introduces the concept of good behaviour as an asset in a marketing context. We explore the implications of this for both BMI and IM. Our approach would increase the quality and quantity of information in online rentals, both major dimensions of marketing advantage. The dominant position of AirBnB represents a limitation on the implementation of our approach and would be an area for policy makers to focus on.Keywords
Business Model, Decentralized Marketing, Online Accommodation.Full Text
References
- Resnick P, Zeckhauser R, Swanson J, Lockwood K. The value of reputation on eBay: A controlled experiment. Experimental Economics. 2006; 9(2):79-101. https://doi. org/10.1007/s10683-006-4309-2
- Rochet, J-C. and Tirole J. Platform competition in two sided markets. Journal of the European Economic Association. 2003; 1(4):990-1029. https://doi.org/10.1162/ 154247603322493212
- Achrol RS. and Kotler P. Marketing in the network economy. Journal of Marketing. 1999; 63(4):146-163. https://doi. org/10.1177/00222429990634s114
- Oskam J and Boswijk A. Airbnb: The future of networked hospitality businesses. Journal of Tourism Futures; 2016. https://doi.org/10.1108/JTF-11-2015-0048
- Zervas G, Proserpio D and Byers JW. The rise of the sharing economy: Estimating the impact of Airbnb on the hotel industry. Journal of Marketing Research. 2017; 54(5):687- 705. https://doi.org/10.1509/jmr.15.0204
- Gawer A and Cusumano MA. How companies become platform leaders. MIT Sloan Management Review. 2008; 49(2):28.
- Gawer A. Bridging differing perspectives on technological platforms: To- ward an integrative framework. Research Policy. 2014; 43(7):1239-1249. https://doi.org/10.1016/j. respol.2014.03.006
- Guttentag D. Airbnb: disruptive innovation and the rise of an informal tourism accommodation sector. Current Issues in Tourism. 2015; 18(12):1192-1217. https://doi.org/10.108 0/13683500.2013.827159
- Muller E. Delimiting disruption: Why Uber is disruptive, but Airbnb is not. International Journal of Research in Marketing. 2020; 37(1):43-55. https://doi.org/10.1016/j. ijresmar.2019.10.004
- Christensen C. The Innovator’s Dilemma: When New Technologies Cause Great Firms to Fail. Boston: Harvard Business School Press; 1997.
- Christensen C, Raynor, ME and McDonald R. Disruptive innovation. Harvard Business Review; 2013.
- Harris M and Raviv A. A theory of monopoly pricing schemes with demand uncertainty. The American Economic Review. 1981; 71(3):347-365.
- Samiee S. International marketing and the internet: A research overview and the path forward. International Marketing Review. 2020. https://doi.org/10.1108/IMR-03- 2018-0120
- Gronroos, C. Relationship approach to the marketing function in service contexts: The marketing and organisation behaviour interface. Journal of Business Research. 1990; 20(1):3-12. https://doi.org/10.1016/0148-2963(90)90037-E
- Bezovski Z, Jovanov T and Temjanovski R. The impact and the potential disruption of the blockchain technology on marketing. Journal of Economics. 2021; 6(1):13-23. https:// doi.org/10.46763/JOE216.10013b
- Branco F, Sun M and Villas-Boas JM. Too much information? Infor mation provision and search costs. Marketing Science. 2016; 35(4):605-618. https://doi.org/10. 1287/mksc.2015.0959
- Verbeke A and Greidanus NS. The end of the opportunism vs trust debate: Bounded reliability as a new envelope concept in research on MNE governance. Journal of International Business Studies. 2009; 40(9):1471-1495. https://doi.org/10.1057/jibs.2009.44
- Grewal E, Holtz D, Fradkin A and Pearson M. Reporting bias and reciprocity in online reviews: Evidence from field experiments on Airbnb; 2015.
- Huckle S, Bhattacharya R, White M and Beloff N. Internet of things, blockchain and shared economy applications. Procedia Computer Science. 2016; 98:461-466. https://doi. org/10.1016/j.procs.2016.09.074
- Onder I and Treiblmaier H. Blockchain and tourism: Three research propositions. Annals of Tourism Research. 2018; 72(C):180-182. https://doi.org/10.1016/j. annals.2018.03.005
- Johnson MW, Christensen CM and Kagermann H. Reinventing your business model. Harvard Business Review. 2008; 86(12):57-68.
- Nakamoto S. Bitcoin: A peer-to-peer electronic cash system White paper; 2008.
- Dwork C, Naor M. Pricing via processing or combatting junk mail. Annual International Cryptology Conference. Springer; 1992. p. 139-147. https://doi.org/10.1007/3-540- 48071-4_10
- Jakobsen M, Juels A. Proofs of work and bread pudding protocols. Secure information networks. Springer; 1999. p. 258-272
- Bonneau J, Miller A, Clark J, Narayanan A, Kroll JA, Felten EW. SoK: Research perspectives and challenges for bitcoin and cryptocurrencies. 2015 IEEE Symposium on Security and Privacy; 2015. p. 104-121. https://doi.org/10.1109/ SP.2015.14
- Zheng Z, Xie S, Dai H, Chen X, Wang H. An overview of blockchain technology: Architecture, consensus, and future trends. IEEE International Congress on Big Data (BigData congress); 2017 Jun. p. 557-564. https://doi.org/10.1109/ BigDataCongress.2017.85
- Abd Elminaam DS, Abdual-Kade HM, Hadhoud MM, Evaluating the performance of symmetric encryption algorithms. IJ Network Security. 2010; 10(3):216-222.
- Antoniadis I, Kontsas S, Spinthiropoulos K. Blockchain Applications in Marketing the Proceedings of 7th ICCMI; 2019.
- Harvey CR, Moorman C, Toledo M. How blockchain will change marketing as we know it; 2018. Available at SSRN 3257511. https://doi.org/10.2139/ssrn.3257511
- Liu L, Munro M. Systematic analysis of centralized online reputation systems. Decision Support Systems. 2012; 52(2): 438-449. https://doi.org/10.1016/j.dss.2011.10.003
- Gronroos C. From marketing mix to relationship marketing: Towards a paradigm shift in marketing. Asia-Australia Marketing Journal. 1994; 2(1):9-29. https://doi. org/10.1016/S1320-1646(94)70275-6
- Kollock P. The production of trust in online markets. Advances in Group Processes. 1999; 16(1):99-123.
- Novak TP, Hoffman DL, Yung YF. Measuring the customer experience in online environments: A structural modeling approach. Marketing Science. 2000; 19(1):22-42. https:// doi.org/10.1287/mksc.19.1.22.15184
- Easton G. Industrial networks: A review. Industrial Networks: A New View of Reality. In: Axelsson B, Easton G, editors. London: Routledge; 1992. p. 3-27
- Bolton G, Greiner B, Ockenfels A. Engineering trust: Reciprocity in the production of reputation information. Management Science. 2013; 59(2):265-285. https://doi. org/10.1287/mnsc.1120.1609
- Berglund H, SandstrÖm C. Business model innovation from an open systems perspective: structural challenges and managerial solutions. International Journal of Product Development. 2013; 18(3-4):274-285. https://doi. org/10.1504/IJPD.2013.055011
- Winston A, Yerramilli V. Monitoring in originate-to-distribute lending: Reputation versus skin in the game. The Review of Financial Studies; 2021. https://doi.org/10.1093/ rfs/hhab012
- Katsikeas CS, Skarmeas D, Bello DC. Developing successful trust-based international exchange relationships. Journal of International Business Studies. 2009; 40(1):132-155. https://doi.org/10.1057/palgrave.jibs.8400401
- Hu N, Zhang J, Pavlou PA. Overcoming the J-shaped distribution of product reviews. Communications of the ACM. 2009; 52(10):144-147. https://doi.org/10. 1145/1562764.1562800
- Fradkin A, Grewal E, Holtz D, Pearson M. Reporting bias and reciprocity in online reviews: Evidence from field experiments on Airbnb. Working Paper. 2014. p. 2015. https://doi.org/10.1145/2764468.2764528
- Akerlof GA. The market for “lemons”: Quality uncertainty and the market mechanism. In Uncertainty in Economics; 1978. p. 235-251. Academic Press. https://doi.org/10.1016/ B978-0-12-214850-7.50022-X
- Ertemel AV. Implications of blockchain technology on marketing. J Int Trade Logist Law. 2018; 4:35-44.
- Bagozzi RP. Marketing as an Organized behavioral system of exchange: A comprehensive and analytic structure for interpreting behavior in marketing relationships. Journal of Marketing. 1974; 38(4):77-81. https://doi. org/10.1177/002224297403800414
- Clemons EK. The complex problem of monetizing virtual electronic social networks. Decision Support Systems. 2009; 48(1):46-56. https://doi.org/10.1016/j.dss.2009.05.003
- Xu X, Weber I, Staples M, Zhu L, Bosch J, Bass L, Pautasso C, Rimba P. A taxonomy of blockchain-based systems for architecture design. In 2017 IEEE International Conference on Software Architecture (ICSA); 2017 Apr. p. 243-252. https://doi.org/10.1109/ICSA.2017.33
- Mougayar W. The business blockchain: Promise, practice, and application of the next Internet technology. John Wiley and Sons; 2016.
- Nam K. Dutt CS, Chathoth P, Khan MS. Blockchain technology for smart city and smart tourism: Latest trends and challenges. Asia Pacific Journal of Tourism Research. 2021; 26(4):454-468. https://doi.org/10.1080/10941665.201 9.1585376
- Zott C, Amit R. Business model design: An activity system perspective. Long Range Planning. 2010; 43(2-3):216-226. https://doi.org/10.1016/j.lrp.2009.07.004
- Quinby D, Gasdia M. Share this! private accommodation and the rise of the new genrenters; 2014. Available at: www. phocuswright.com/Travel-Research/Consumer-Trends/ Share-ThisPrivate-Accommodation-amp-the-Rise-of-theNew-Gen-Renter
- Mao Z, Lyu J. Why travelers use Airbnb again? International Journal of Contemporary Hospitality Management. 2017. https://doi.org/10.1108/IJCHM-08-2016-0439
- McDougall GHG, Levesque T. Customer satisfaction with services: Putting perceived value into the equation. Journal of Services Marketing. 2000; 14(5):392-410. https://doi. org/10.1108/08876040010340937
- Banon J, Borǒsa GP. Decentralized Autonomous Commerce. Whitepaper Version 1.1: draft, 01 November 2020.
- Vargo SL, Lusch RF. Evolving to a new dominant logic for marketing. Journal of Marketing. 2004; 68(1):1-17. https:// doi.org/10.1509/jmkg.68.1.1.24036