Showing papers in "Asia-pacific Financial Markets in 2016"

Speculative Futures Trading under Mean Reversion

Abstract: This paper studies the problem of trading futures with transaction costs when the underlying spot price is mean-reverting. Specifically, we model the spot dynamics by the Ornstein–Uhlenbeck, Cox–Ingersoll–Ross, or exponential Ornstein–Uhlenbeck model. The futures term structure is derived and its connection to futures price dynamics is examined. For each futures contract, we describe the evolution of the roll yield, and compute explicitly the expected roll yield. For the futures trading problem, we incorporate the investor’s timing option to enter or exit the market, as well as a chooser option to long or short a futures upon entry. This leads us to formulate and solve the corresponding optimal double stopping problems to determine the optimal trading strategies. Numerical results are presented to illustrate the optimal entry and exit boundaries under different models. We find that the option to choose between a long or short position induces the investor to delay market entry, as compared to the case where the investor pre-commits to go either long or short.

Analysis of the Nonlinear Option Pricing Model Under Variable Transaction Costs

Abstract: In this paper we analyze a nonlinear Black–Scholes model for option pricing under variable transaction costs. The diffusion coefficient of the nonlinear parabolic equation for the price V is assumed to be a function of the underlying asset price and the Gamma of the option. We show that the generalizations of the classical Black–Scholes model can be analyzed by means of transformation of the fully nonlinear parabolic equation into a quasilinear parabolic equation for the second derivative of the option price. We show existence of a classical smooth solution and prove useful bounds on the option prices. Furthermore, we construct an effective numerical scheme for approximation of the solution. The solutions are obtained by means of the efficient numerical discretization scheme of the Gamma equation. Several computational examples are presented.

Explaining Size Effect for Indian Stock Market

Abstract: Using data for BSE 500 companies from October 2003 to January 2015, we confirm the presence of strong size effect in Indian stock market. Controlling for penny stocks, we find that returns decrease almost monotonically with firm size. The findings are robust for alternative size measures, i.e. market capitalization, total assets, net fixed assets, net working capital, net sales and enterprise value. We find the presence of non-synchronous trading bias and reverse seasonality effect. It is observed that market, size, value and business cycle factors explain size effect while liquidity and momentum factors have little role in this process. Thus, rational sources explain the size anomaly in the Indian context.

Bond Market Development, Economic Growth and Other Macroeconomic Determinants: Panel VAR Evidence

Abstract: This paper examines causal relationships between bond market development, economic growth and four other macroeconomic variables in 35 countries for the period 1993–2011. Bond market development is defined in terms of the significance and presence of public sector, private sector, and international bond issues. Additional covariates being considered are the inflation rate, the real effective exchange rate, the real interest rate, and a measure of openness to international trade. We use a panel vector auto-regression model to reveal the nature of Granger causality among these variables. Specifically, we find that bond market development and the four macroeconomic covariates may be long-run causative factors for economic growth. Thus, policy makers seeking to foster economic growth are warned to check multi-causal studies involving all these variables before setting their policies.

Central Bank Intervention in USD/INR Market: Estimating Its Reaction Function and Impact on Volatility

Abstract: Econometric evidence on why central banks intervene in the foreign exchange market and the impact of such intervention has remained inconclusive. We contribute to the literature with evidence from India, a managed float regime that sees consistent monitoring and intervention by Reserve Bank of India, India’s central bank. Estimation of the central bank reaction function shows that increased volatility in the foreign exchange market and misalignment from targeted rates are important objectives behind intervention. The paper further uses the GARCH framework to study how intervention influences exchange rate volatility. We find that intervention in the spot market increases volatility while that in the forward market reduces volatility.

The Asymmetric Momentum Effect in the Chinese Class A Share Market Amid Market Swings

Abstract: This paper investigates the asymmetric momentum effect over time periods following UP and DOWN market states in the Shanghai and Shenzhen Stock Exchanges of the Chinese Class A share market. We show that the post-UP-market momentum effect eclipses the post-DOWN-market momentum effect in unison in both market segments. Notably, the asymmetric pattern of the market-state-dependent momentum effect in the Shenzhen Stock Exchange is outpaced by that found in the Shanghai Stock Exchange. Furthermore, through decomposing momentum returns, we reveal that low liquidity, higher market return volatility, and weak under-reaction of share prices towards firm-specific news jointly contribute to the subdued asymmetry of market-state-dependent momentum returns in the Shenzhen Stock Exchange.

On the Price of Risk Under a Regime Switching CGMY Process

Abstract: In this paper, we study option pricing under a regime-switching exponential Levy model. Assuming that the coefficients are time-dependent and modulated by a finite state Markov chain, we generalise the work in Momeya and Morales (Method Comput Appl Probab, 2014, doi:10.1007/s11009-014-9399-2), and Siu and Yang (Acta Mathe Appl Sin 2:369–388, 2009), that is, we use a pricing method based on the Esscher transform conditional on the information available on the Markov chain. We also carry out numerical analysis, to show the impact of the risk induced by the underlying Markov chain on the price of the option.

Measuring Credit Risk of Individual Corporate Bonds in US Energy Sector

Abstract: In this paper, using the measures of the credit risk price spread (CRiPS) and the standardized credit risk price spread (S-CRiPS) proposed in Kariya’s (A CB (corporate bond) pricing model for deriving default probabilities and recovery rates. Eaton, IMS Collection Series: Festschrift for Professor Morris L., 2013) corporate bond model, we make a comprehensive empirical credit risk analysis on individual corporate bonds (CBs) in the US energy sector, where cross-sectional CB and government bond price data is used with bond attributes. Applying the principal component analysis method to the S-CRiPSs, we also categorize individual CBs into three different groups and study on their characteristics of S-CRiPS fluctuations of each group in association with bond attributes. Secondly, using the market credit rating scheme proposed by Kariya et al. (2014), we make credit-homogeneous groups of CBs and show that our rating scheme is empirically very timely and useful. Thirdly, we derive term structures of default probabilities for each homogeneous group, which reflect the investors’ views and perspectives on the future default probabilities or likelihoods implicitly implied by the CB prices for each credit-homogeneous group. Throughout this paper it is observed that our credit risk models and the associated measures for individual CBs work effectively and can timely provide the market credit information evaluated by investors.

An Asymptotic Expansion for Forward-Backward SDEs : A Malliavin Calculus Approach

Abstract: This paper proposes a new analytical approximation scheme for the representation of the forward–backward stochastic differential equations (FBSDEs) of Ma and Zhang (Ann Appl Probab, 2002). In particular, we obtain an error estimate for the scheme applying Malliavin calculus method for the forward SDEs combined with the Picard iteration scheme for the BSDEs. We also show numerical examples for pricing option with counterparty risk under local and stochastic volatility models, where the credit value adjustment is taken into account.

Expectations Hypothesis and Term Structure of Interest Rates: An Evidence from Emerging Market

Abstract: The integration of emerging economies with developed economies has changed the behaviour of interest rates and exchange rate fluctuation. The current study tries to analyse the implication of expectation hypothesis (EH) and term structures of interest rates between India and US. Using vector auto regressive estimates, the study tries to test the dynamic interdependence of interest rates on exchange rate fluctuation. Further, the study estimates Granger causality tests and Impulse Response Functions to test the behaviour of interest rate movements for a period of nineteen years ranging from June 1996 to June 2015.The empirical results of the study show evidence in line with the existence of EH in the case of emerging market. Nevertheless, in the case of advanced economies we do not find any evidence for EH. The findings revealed that the spread between long and short rate of India is influenced by short-term interest rates and past values of Indian spread. This implies that the fluctuations in the long rate over the short rate evidenced the strong presence of EH as far as emerging economy is concerned.To the best of our knowledge, this is the first study in Indian market, which tests the role of EH in interest rate fluctuations along with exchange rate. Since majority of the studies on term structure of interest rates focus on developed markets, the present study is an attempt to test the causal relationship between developed and developing economies.

The Effects of Analysts’ Herding on Traders: Evidence from the Taiwan Stock Market

Abstract: The primary aim of this study is to carry out an investigation into the effects of analysts’ herding on different types of traders in Taiwan stock market. Our empirical results reveal that smaller traders are more readily affected by analyst herding, essentially as a result of their lack of experience and their lack of access to relevant information sources, which leads to them reacting directly to the central point of the recommendations made by the analysts. Our findings also reveal that both small and large traders are affected by analyst herding in the recommendations provided by the analysts relating specifically to buying. As for the evidence on analyst herding in recommendations relating to selling, larger traders are invariably found to have made use of their informational advantages to act in advance of such recommendations.

Pricing Foreign Exchange Options Under Intervention by Absorption Modeling

Abstract: We consider option pricing for a foreign exchange (FX) rate where interventions by an authority may take place when the rate approaches to a certain level at the down side. We formulate the forward FX model by a diffusion process which is stopped by a hitting time of an absorption boundary. Moreover, for a deterministic volatility case with a moving absorption whose level is described by an ordinary differential equation, we obtain closed-form formulas for prices of a European put option and a digital option, and Greeks of the put option. Furthermore, we show an extension of the pricing formula to the case where the intervention level is unknown. In numerical examples, we show option prices for different strikes for the absorption model and the extended model. We compare the model prices with the market prices for EURCHF options traded before January 2015 with the absorption model, and also show experiments of the extended model as an application to the pricing under uncertain views on the intervention.

Commodity Spread Option with Cointegration

Abstract: We derive the valuation formula of a European call option on the spread of two cointegrated commodity futures prices, based on the Gibson–Schwartz with cointegration (GSC) model. We also analyze the American commodity spread option including the early exercise premium representation and an analytical approximation valuation formulae with cointegration. In the numerical analysis, we compare the spread option values calculated by the GSC model and the Gibson–Schwartz (GS) model that ignores cointegration. Consistent with the intuition that the cointegration prevents the prices from diverging, the GSC model prices the commodity spread option lower than the GS model which have longer maturity of more than 6 years. In other words, the GS model may overprice the commodity spread options for those with longer maturity without taking account of cointegration. Thus, incorporating cointegration is important for valuation and hedging of long-term commodity spread options such as large scale oil refining plant developments.

The End of the Month Option and Other Embedded Options in Futures Contracts

Abstract: Futures contracts often contain several different kinds of embedded options related to the delivery of the underlying. The end of the month option allows the holder of the short end of a futures contract to deliver the underlying at any time during the last week of the contract period at a fixed price determined at the start of the last week. We derive a formula for this price in a general incomplete financial market, in which the process underlying the futures contract is a general adapted cadlag process and the risk free interest rate process is a general adapted process, both satisfying certain integrability conditions. In a similar setting we also derive a formula for the futures price process of a futures contract which first has no option active, then it has an active timing option (which lets the holder of the short end deliver at any time during the last month of the contract period) and lastly it has an active end of the month option. This combination of delivery options is present in the real-world financial markets. We show that this futures price process is dominated by a standard futures price process with maturity at the time of the activation of the end of the month option. We also show that if the underlying is an asset with a non-positive convenience yield and the interest rate is non-negative then it is optimal to deliver when the end of the month option becomes active. The main contribution of this paper is to properly define the end of the month option and to derive a formula for the futures price process of a futures contract with the combination of options described above.