Browsing by Author "Salih, A."

Now showing 1 - 7 of 7

Open Access
Degree of mispricing with the black-scholes model and nonparametric cures
(Peking University Press, 2003) Gençay, R.; Salih, A.
The Black-Scholes pricing errors are larger in the deeper out-of-the-money options relative to the near out-of-the-money options, and mispricing worsens with increased volatility. Our results indicate that the Black-Scholes model is not the proper pricing tool in high volatility situations especially for very deep out-of-the-money options. Feedforward networks provide more accurate pricing estimates for the deeper out-of-the money options and handles pricing during high volatility with considerably lower errors for out-of-the-money call and put options. This could be invaluable information for practitioners as option pricing is a major challenge during high volatility periods.
Open Access
Expected gain-loss pricing and hedging of contingent claims in incomplete markets by linear programming
(Elsevier, 2010) Pınar, M. Ç.; Salih, A.; Camcı, A.
We analyze the problem of pricing and hedging contingent claims in the multi-period, discrete time, discrete state case using the concept of a "λ gain-loss ratio opportunity". Pricing results somewhat different from, but reminiscent of, the arbitrage pricing theorems of mathematical finance are obtained. Our analysis provides tighter price bounds on the contingent claim in an incomplete market, which may converge to a unique price for a specific value of a gain-loss preference parameter imposed by the market while the hedging policies may be different for different sides of the same trade. The results are obtained in the simpler framework of stochastic linear programming in a multi-period setting, and have the appealing feature of being very simple to derive and to articulate even for the non-specialist. They also extend to markets with transaction costs.
Open Access
Impact of macroeconomic announcements on implied volatility slope of SPX options and VIX
(Elsevier, 2014-12) Onan, M.; Salih, A.; Yasar, B.
This paper examines the impact of macroeconomic announcements on the high-frequency behavior of the observed implied volatility skew of S&P 500 index options and VIX. We document that macroeconomic announcements affect VIX significantly and slope at a lesser extent. We also find evidence that good and bad announcements significantly and asymmetrically change implied volatility slope and VIX. 2014 Elsevier Inc. All rights reserved.
Open Access
Informed trading, order flow shocks and the cross section of expected returns in Borsa Istanbul
(Routledge, 2020-01) Tiniç, Murat; Salih, A.
This paper examines the relationship between information asymmetry and stock returns in Borsa Istanbul. For all stocks that are traded in Borsa Istanbul between March 2005 and April 2017, we estimate the probability of informed trading (PIN) to proxy for information asymmetry. Firm-level cross-sectional regressions indicate a statistically insignificant relationship between PIN estimates and future returns. Moreover, univariate and multivariate portfolio analyses assert that investors that hold stocks that have high information asymmetry do not obtain significant future returns. Consequently, our results suggest that information asymmetry proxied by PIN is a firm-specific risk and can be eliminated with portfolio diversification. Findings are robust to different factorizations in estimating PIN and free of any bias due to trade classification algorithms, boundary solutions, floating-point exceptions and symmetric order flow shocks.
Open Access
Institutions and the book-to-market effect: The role of investment horizon
(Elsevier BV, 2022-11-16) Iqbal, M. S.; Salih, A.; Akdeniz, Levent
In this study, we investigate the differential contribution of institutions with different investment horizons in the book-to-market effect. We find that long-horizon institutions tend to buy (sell) stocks with positive (negative) past intangible information. This behavior exacerbates market overreaction and magnifies intangible return reversals, thus contributing to the book-to-market effect. On the other hand, short-horizon institutions trade independent of intangible information, and their trading in the direction of intangible information does not contribute to the book-to-market effect. Moreover, our findings also support that short-horizon institutions are better informed than long-horizon institutions.
Open Access
Is volatility risk priced in the securities market? evidence from S&P 500 index options
(John Wiley & Sons, 2007) Arisoy, Y. E.; Salih, A.; Akdeniz, L.
The authors examine whether volatility risk is a priced risk factor in securities returns. Zero-beta at-the-money straddle returns of the S&P 500 index are used to measure volatility risk. It is demonstrated that volatility risk captures time variation in the stochastic discount factor. The results suggest that straddle returns are important conditioning variables in asset pricing, and investors use straddle returns when forming their expectations about securities returns. One interesting finding is that different classes of firms react differently to volatility risk. For example, small firms and value firms have negative and significant volatility coefficients, whereas big firms and growth firms have positive and significant volatility coefficients during high-volatility periods, indicating that investors see these latter firms as hedges against volatile states of the economy. Overall, these findings have important implications for portfolio formation, risk management, and hedging strategies.
Open Access
The price impact of same- and opposing-direction herding by institutions with different investment horizons
(Academic Press, 2021-05) Iqbal, Muhammed Sabeeh; Salih, A.; Akdeniz, Levent
This paper examines the price impact of the herding behaviour of short- and long-horizon institutional investors. We categorize the institutional herding as same-side herding when both types of institutions herd on the buy-side or sell- side together and as opposite-side herding when short-horizon institutions buy while the long-horizon institutions sell or vice versa. We find that the previously documented destabilizing impact of long-horizon institutional herding is only observed on opposite-side herding. Moreover, short-horizon institutional herding improves the stock price discovery process confirming the belief that they are more informed.