Testing the performance of technical analysis and sentiment-TAR trading rules in the Malaysian stock market

This study carries out investigation of technical analysis and Sentiment-Threshold Autoregressive (Sentiment-TAR) trading rules in the Malaysian stock market, using daily data from Jan 1, 2001 through December 31, 2016. The findings reveal that while the Sentiment-TAR trading rules (more specifically Sentiment^WORLD-TAR) have better predictive power than technical trading rule, the magnitude of predictability is shown to vary with sectors. Robustness of results is further verified by in- and out-of-sample test and bootstrap analysis. As expected, the inclusion of transaction costs eliminates the trading profits for the majority of the trading rules. Nevertheless, results reveal that investors can gain substantially by combining Sentiment-TAR and TRB rules and by investing in certain sectors.     

Effects of time horizon and asset condition on the profitability of technical trading rules

In much of the literature, the debate over technical trading strategies has centered around the question of whether an actively managed portfolio, controlled by a technical indicator, can outperform a passively managed portfolio. Typically, the time horizon is considered to be years. Additionally, the trader is assumed to use a technical trading strategy that is independent of asset conditions. These assumptions may not correspond well with reality. Traders often have much shorter time horizons and may switch between rebalancing or trading strategies on the basis of perceived shifts in market condition. This paper presents a study of the profitability of technical trading rules as a function of asset state or condition. Several common technical trading strategies were run on 296 stocks over a 15 year period. Strategies were run with 1 month rolling time horizons, significantly shorter than those used in similar studies in the literature. Stocks were segmented based on volatility and volume, which allowed for the examination of a strategy’s performance in different asset conditions. Several strategies were demonstrated to have consistently better risk-to-reward ratios under specific asset conditions and short time horizons. This finding helps to explain why some practitioners implement technical trading strategies.     

Thin trading and mispricing profit opportunities in the Canadian commodity futures

This study examines whether thin trading problems in the Canadian futures market can create mispricing profit opportunities for canola and feed wheat futures traded over the period 1981 through 1993. A forecasting model is developed using historical and publicly available information to predict futures closing prices for these contracts, then two trading rules (a confidence interval and a percentage price change filter) are used to determine their profit potentials. The size of profits generated from trading canola futures under either rule during the period 1987–1993 is consistent with C. Carter's (1989) earlier results that no market inefficiency was detected during the 1980–1987 period. Similarly, profits from the Canadian feed wheat thinly traded contracts and from a control group using the highly-liquid American soybean oil and wheat contracts do not violate the efficiency theory. The average gross profit per trade analysis further suggests that net positive profits may not be viable for marginal investors.     

A model of market making with heterogeneous speculators

I introduce an optimizing monopolistic market maker in an otherwise standard setting à la Brock and Hommes (J Econ Dyn Control 22(8–9):1235–1274, 1998) (BH98). The market maker sets the price of a zero-yielding asset taking advantage of her knowledge of speculators’ demand, manages her inventory of the asset and eventually earns profits from trading. The resulting dynamic behavior is qualitatively identical to the one described in BH98, showing that the results of the latter are independent from the institutional framework of the market. At the same time, I show that the market maker has conflicting effects. She acts as a stabilizer when she allows for market imbalances, while she acts as a destabilizer when she manages aggressively her inventories and when she trades, especially if she acts as fundamentalist or if she is a strong extrapolator. Indeed the more stable institutional framework is one in which the market makers are inventory neutral and doesn’t trade but, even in this case, the typical complex behavior of BH98 occurs.

     

ENJOYING THE QUIET LIFE UNDER DEREGULATION? NOT QUITE

Most empirical studies in the banking literature assume that the alternative profit function is linearly homogeneous in input prices. We show that such an assumption is theoretically unwarranted and that its use may yield misleading results. We use Koetter et al. (Review of Economics and Statistics 2012; 94 (2): 462–480) as a benchmark to showcase how empirical results can be sensitive to the linear homogeneity assumption. Contrary to Koetter et al., we find a positive relation between market power and profit efficiency when this assumption is dropped. This relation is slightly weakened after the wave of intrastate and interstate deregulation but not enough to support the ‘quiet life’ hypothesis. Copyright © 2014 John Wiley & Sons, Ltd.     

Technical analysis,spread trading,and data snooping control

This paper utilizes a large universe of 18,410 technical trading rules (TTRs) and adopts a technique that controls for false discoveries to evaluate the performance of frequently traded spreads using daily data over 1990–2016. For the first time, the paper applies an excessive out-of-sample analysis in different subperiods across all TTRs examined. For commodity spreads, the evidence of significant predictability appears much stronger compared to equity and currency spreads. Out-of-sample performance of portfolios of significant rules typically exceeds transaction cost estimates and generates a Sharpe ratio of 3.67 in 2016. In general, we reject previous studies’ evidence of a uniformly monotonic downward trend in the selection of predictive TTRs over 1990–2016.     

Inferring trader behavior from transaction data: A trade count model

We present a model that uses trade counts to infer the arrival of private news and the probability of informed trading (PIN). Although similar in approach, our model avoids problems with factor-driven biases and standard errors associated with estimating the buy-sell model of Easley et al. (1996). In particular, tests using the probability of informed trading may suffer from spurious correlations between the Easley et al. (1996) PIN and firm or market characteristics. Results for our model suggest that trade counts, independent of trade direction, are able to capture important features of a firm’s information environment. (JEL C51, D82)     

Predictability in sovereign bond returns using technical trading rules: Do developed and emerging markets differ?

The study examines the predictability of 48 sovereign bond markets based on a strategy of 27,000 technical trading rules. These rules represent four popular trading rule classes, they are: moving average, filtering, support and resistance, and channel breakout rules, with numerous variants in each class. Empirical results show that (i) investing in sovereign bond markets is predictable, based on the buy-sell signals generated by trading rules, with the predictability of the emerging Asian markets being significantly higher than those of the advanced markets; (ii) the predictability is generally higher when the US tightens its monetary policies or undergoes recession or a financial crisis; (iii) two-thirds of sovereign bond markets have a higher predictability when we use a machine learning algorithm to determine the best trading rule strategy; and (iv) the predictability of a sovereign bond market is higher when the economy has a less effective government, lower regulatory quality, lower degree of financial openness, higher political risk, lower income and faster real money growth. Our results suggest that shocks originating from US monetary policy or economic conditions could have a considerable spillover effect on sovereign bond markets, particularly the emerging Asian markets.     

Noise Trading and the Management of Operational Risk; Firms,Traders and Irrationality in Financial Markets*

abstract Efficient market models cannot explain the high level of trading in financial markets in terms of asset portfolio adjustment. It is presumed that much of this excessive trading is irrational ‘noise’ trading. A corollary is that there must either be irrational traders in the market or rational traders with irrational aberrations. The paper reviews the various attempts to explain noise trading in the finance literature, concluding that the persistence of irrationality is not well explained. Data from a study of 118 traders in four large investment banks are presented to advance reasons why traders might seek to trade more frequently than financial models predict. The argument is advanced that trades do not simply occur in order to generate profit, but it does not follow that such trading is irrational. Trading may generate information, accelerate learning, create commitments and enhance social capital, all of which sustain traders' long term survival in the market. The paper treats noise trading as a form of operational risk facing firms operating in financial markets and discusses approaches to the management of such risk.     

Winning,then Losing,the Battle with Globalization: Vietnamese Petty Traders in Slovakia

This article addresses the remarkable growth of Vietnamese market trading in Central and Eastern Europe, notably Slovakia, in the early 1990s, and its subsequent decline. The literature on ethnic entrepreneurship and cross‐border petty trading provides partial insights into this phenomenon, but fails to explain the levels of concentration of the Vietnamese in market trading, or the rapid changes in this sector. We therefore conceptualize them as being at the nexus of shifting flows of capital, goods and people, and draw on the notion of transnational spaces. L’article aborde le commerce du Vietnam en Europe centrale et de l’Est, notamment en Slovaquie, lequel a connu un remarquable essor au début des années 1990 suivi d’un déclin. Les travaux sur l’esprit d’entreprise ethnique et le petit commerce transfrontalier n’offrent qu’un éclairage partiel de ce phénomène, sans expliquer les niveaux de concentration des Vietnamiens dans le commerce ni les rapides transformations de ce secteur. L’article les conceptualise donc comme le c?ur des flux changeants de capitaux, marchandises et populations en s’inspirant de la notion d’espaces transnationaux.     

Beating the market? A mathematical puzzle for market efficiency

The efficient market hypothesis is highly discussed in economic literature. In its strongest form, it states that there are no price trends. When weakening the non-trending assumption to arbitrary short, small, and fully unknown trends, we mathematically prove for a specific class of control-based trading strategies positive expected gains. These strategies are model free, i.e., a trader neither has to think about predictable patterns nor has to estimate market parameters such as the trend’s sign like momentum traders have to do. That means, since the trader does not have to know any trend, even trends too small to find are enough to beat the market. Adjustments for risk and comparisons with buy-and-hold strategies do not satisfactorily solve the problem. In detail, we generalize results from the literature on control-based trading strategies to market settings without specific model assumptions, but with time-varying parameters in discrete and continuous time. We give closed-form formulae for the expected gain as well as the gain’s variance and generalize control-based trading rules to a setting where older information counts less. In addition, we perform an exemplary backtesting study taking transaction costs and bid-ask spreads into account and still observe—on average—positive gains.

     

What factor contributes to productivity growth of Chinese city banks: The role of regional difference

This study pays more attentions to investigate the performance of Chinese city banks, which can make up the blanks large banks left in the financing market, further improving local economic development. The study modifies the profit productivity indicator of Juo et al. (2015) under the short-run assumption to measure the profit productivity and its components. Our study finds that there exists a significant difference among banks by regions, and the eastern regional city banks have a best profit efficiency, but decline more than the others. The decomposed component, price effect, plays a most important role to explain the profit productivity change.     

Timing of price clustering and trader behavior in the foreign exchange market: evidence from Taiwan

In this paper, I use a unique proprietary dataset from the foreign exchange market to examine the existing hypotheses on price clustering. I find that market uncertainty plays an important role in price clustering. Moreover, since trading behavior changes under different market conditions, market timing also affects the likelihood of price clustering. The results support both the price resolution hypothesis (Ball et al. J Futures Mark 5:29–43, 1985) and the negotiation hypothesis (Harris Rev Financ Stud 4:389–415, 1991). Since the data covers the interbank foreign exchange market, which is the market for the professional bank dealers, the attraction hypothesis is less likely to be a plausible explanation for price clustering in the foreign exchange market.     

Misvaluation comovement,market efficiency and the cross-section of stock returns: Evidence from China

In this study, we examine the relation between stock misvaluation and expected returns in China's A-share market. We measure individual stocks’ misvaluation based on their pricing deviation from fundamental values, following Rhodes-Kropf et al. (2005. J. Finan. Econ. 77 (3), 561) and Chang et al. (2013. J. Bank. Finance, forthcoming), and find that the measure has strong and robust return predictive power in the Chinese market. We further form a misvaluation factor and find that misvaluation comovement and systematic misvaluation exist in the Chinese market. A comparison of our results with those of Chang et al. (2013. J. Bank. Finance, forthcoming) reveals that the misvaluation effect is much stronger in the Chinese market than in the U.S market. This evidence is consistent with the notion that the Chinese market is much less efficient than the U.S. market. Finally, we show that the return predictive power of misvaluation has weakened since China launched its split-share structure reform in 2005, which could result from the fact that the reform helps to promote market efficiency.     

Joint Private Safety Standards and Vertical Relationships in Food Retailing

In recent years, it has become common for downstream firms to impose Joint Private Standards (JPSs) on upstream producers. In this paper, we present an original model of a vertical relationship, explaining the incentives for and the effects of such JPSs with an example concerning food safety. The risk of a food crisis is endogenously determined. Using the concept of cartel stability ( d’Aspremont et al., 1983 ), it is shown that liability rules are crucial for JPSs to emerge, that a JPS can become a minimum quality standard, and that a more stringent JPS does not necessarily reduce the market risk.     

Adaptive market hypothesis: The story of the stock markets and COVID-19 pandemic

Since the level of markets’ information efficiency is key to profiteering by strategic players, Shocks; such as the COVID-19 pandemic, can play a role in the nature of markets’ information efficiency. The martingale difference and conditional heteroscedasticity tests are used to evaluate the Adaptive form of market efficiency for four (4) major stock market indexes in the top four affected economies during the COVID-19 pandemic (USA, Brazil, India, and Russia). Generally, based on the martingale difference spectral test, there is no evidence of a substantial change in the levels of market efficiency for the US and Brazilian stock markets in the short, medium, and long term. However, in the long term, the Indian stock markets became more information inefficient after the coronavirus outbreak while the Russian stock markets become more information efficient. Intuitively, these affect the forecastability and predictability of these markets’ prices and/or returns. Thereby, informing the strategic and trading actions of stock investors (including arbitrageurs) towards profit optimization, portfolio asset selection, portfolio asset adjustment, etc. Similar policy implications are further discussed.     

The impact of monetary policy on stock market bubbles and trading behavior: Evidence from the lab

We investigate the effect of monetary policy on stock market bubbles and trading behavior in experimental asset markets. We introduce the possibility of investing in interest bearing bonds to the widely used laboratory asset market design of Smith et al. (1988). Treatment groups face a variable interest rate policy which depends on asset prices, while control groups are subjected to a constant interest rate. We observe a strong impact of our interest rate policy on liquidity in the stock market but only a small impact on bubbles. However, we find that announcing the possibility of reserve requirements significantly reduces bubbles.     

A dynamic analysis of moving average rules

The use of various moving average (MA) rules remains popular with financial market practitioners. These rules have recently become the focus of a number empirical studies, but there have been very few studies of financial market models where some agents employ technical trading rules of the type used in practice. In this paper, we propose a dynamic financial market model in which demand for traded assets has both a fundamentalist and a chartist component. The chartist demand is governed by the difference between current price and a (long-run) MA. Both types of traders are boundedly rational in the sense that, based on a fitness measure such as realized capital gains, traders switch from a strategy with low fitness to the one with high fitness. We characterize the stability and bifurcation properties of the underlying deterministic model via the reaction coefficient of the fundamentalists, the extrapolation rate of the chartists and the lag length used for the MA. By increasing the intensity of choice to switching strategies, we then examine various rational routes to randomness for different MA rules. The price dynamics of the MA rule are also examined and one of our main findings is that an increase of the window length of the MA rule can destabilize an otherwise stable system, leading to more complicated, even chaotic behaviour. The analysis of the corresponding stochastic model is able to explain various market price phenomena, including temporary bubbles, sudden market crashes, price resistance and price switching between different levels.     

Learning,information processing and order submission in limit order markets

By introducing a genetic algorithm learning with a classifier system into a limit order market, this paper provides a unified framework of microstructure and agent-based models of limit order markets that allows traders to determine their order submission endogenously according to market conditions. It examines how traders process and learn from market information and how the learning affects limit order markets. It is found that, measured by the average usage of different group of market information, trading rules under the learning become stationary in the long run. Also informed traders pay more attention to the last transaction sign while uninformed traders pay more attention to technical rules. Learning of uninformed traders improves market information efficiency, but not necessarily when informed traders learn. Opposite to the learning of informed traders, learning makes uninformed traders submit less aggressive limit orders and more market orders. Furthermore private values can have significant impact in the short run, but not in the long run. One implication is that the probability of informed trading (PIN) is positively related to the volatility and the bid-ask spread.     

Profit opportunities with the American put-call parity when dividends are not expected

The objective of this research is to study borrowing and lending profit opportunities with the put-call parity of American options when dividends on the stock are not expected. Studying profit opportunities embedded in the put-call parity is intriguing because of their relative simplicity. The only assumptions necessary for the parity to hold are that option markets are frictionless and generate efficient prices of puts and calls around the underlying stock price. For this reason alone (parsimony of postulates) the put-call parity is a tempting vehicle for studying option market efficiency. In this work it is shown that both synthetic lending and borrowing parities (before and after transaction costs), on average and ex post, have negative expected profits (i.e. put-call parity implied rates are inferior to the observed riskless rate). When certain trading rules are established, however, empirical evidence of substantial profit opportunities with both lending and borrowing with the American parity (even after considering transaction costs) is observed. It is also shown that these opportunities are greater for some stocks than for others. The existence of these disparities might be an indication that the pricing mechanism of the respective options is not always in sync. The duration of disequilibrium between the options market and the stock market suggests that such occurrences are not just random bursts.