Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Do price limits help control stock price volatility?
Date
2018-01-01
Author
Danışoğlu, Seza
Güner, Zehra Nuray
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
209
views
0
downloads
Cite This
On the negative side, price limits are criticized for increasing stock price volatility and hindering the price discovery process. On the positive side, price limits are argued to give panicky investors additional time to reassess their judgments and thus provide an opportunity for correcting the element of overreaction in pricing stocks. This study analyzes the effectiveness of price limits in Borsa Istanbul by utilizing a propensity-matched control sample in addition to the traditional benchmarks used in the literature. Similar to recent research, we find strong evidence that price limits lead to increased and persistent price volatility and decreased liquidity. We also provide evidence that price limits interfere with the price discovery process. Results show that smaller stocks with larger volatility and higher trading volume are more likely to experience limit hits. Furthermore, the difference in the findings from the matched control sample and the traditional benchmarks points out the importance of accounting for firm- and market-related characteristics when analyzing the effect of price limits.
Subject Keywords
Management Science and Operations Research
,
General Decision Sciences
URI
https://hdl.handle.net/11511/46771
Journal
ANNALS OF OPERATIONS RESEARCH
DOI
https://doi.org/10.1007/s10479-016-2317-y
Collections
Department of Business Administration, Article
Suggestions
OpenMETU
Core
Stochastic differential games for optimal investment problems in a Markov regime-switching jump-diffusion market
Savku, E.; Weber, Gerhard Wilhelm (Springer Science and Business Media LLC, 2020-08-01)
We apply dynamic programming principle to discuss two optimal investment problems by using zero-sum and nonzero-sum stochastic game approaches in a continuous-time Markov regime-switching environment within the frame work of behavioral finance. We represent different states of an economy and, consequently, investors' floating levels of psychological reactions by aD-state Markov chain. The first application is a zero-sum game between an investor and the market, and the second one formulates a nonzero-sum sto...
Calibration of stochastic models for interest rate derivatives
Rainer, Martin (Informa UK Limited, 2009-01-01)
For the pricing of interest rate derivatives various stochastic interest rate models are used. The shape of such a model can take very different forms, such as direct modelling of the probability distribution (e.g. a generalized beta function of second kind), a short-rate model (e.g. a Hull-White model) or a forward rate model (e.g. a LIBOR market model). This article describes the general structure of optimization in the context of interest rate derivatives. Optimization in finance finds its particular app...
Robust portfolio planning in the presence of market anomalies
Oguzsoy, Cemal Berk; Güven, Sibel (Elsevier BV, 2007-02-01)
In this study, a short-term portfolio modeling formulation is developed using existing anomalies as a single determinant for daily Istanbul Stock Exchange National 100 Composite Index (ISE) and US dollars (USD) returns in a Robust optimization (RO) framework. Using anomalies in planning within an RO framework establishes a balance between risk seeking and risk averse behaviors, as generating profit from anomalies is risky and RO enables to settle down the extreme risk seeking behavior. Applications of the m...
Effectiveness of Price Limits in Controlling Daily Stock Price Volatility Evidence from an Emerging Market
Danışoğlu, Seza; Güner, Zehra Nuray (null; 2000-07-08)
Price limits are instituted to control the volatility of daily stock price movements through establishing price constraints and providing time for rational reassessment of investment decisions during times of panic trading. They function in a similar manner as the circuit breakers in the US exchanges. Advocates of price limits argue that establishing such limits will not interfere with trading activity on an exchange. On the other hand, opponents of price limits assert that these limits can be the source of...
Mutual relevance of investor sentiment and finance by modeling coupled stochastic systems with MARS
Kalayci, Betul; Ozmen, Ayse; Weber, Gerhard Wilhelm (Springer Science and Business Media LLC, 2020-08-01)
Stochastic differential equations (SDEs) rapidly become one of the most well-known formats in which to express such diverse mathematical models under uncertainty such as financial models, neural systems, behavioral and neural responses, human reactions and behaviors. They belong to the main methods to describe randomness of a dynamical model today. In a financial system, different kinds of SDEs have been elaborated to model various financial assets. On the other hand, economists have conducted research on s...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
S. Danışoğlu and Z. N. Güner, “Do price limits help control stock price volatility?,”
ANNALS OF OPERATIONS RESEARCH
, pp. 129–157, 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/46771.