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The purpose of this study is to discover and model the asymmetry in the price volatility of financial markets, in particular the foreign exchange markets as the first underlying applications.

The volatility of the financial market price is usually defined with the standard deviation or variance of the price or price returns. This standard definition of volatility is split into the upper part and the lower one, which are termed here as Yang volatility and Yin volatility. However, the definition of yin‐yang volatility depends on the scale of the time, thus the notion of scale space of price‐time is also introduced.

It turns out that the duality of yin‐yang volatility expresses not only the asymmetry of price volatility, but also the information about the trend. The yin‐yang volatilities in the scale space of price‐time provide a complete representation of the information about the multi‐level trends and asymmetric volatilities. Such a representation is useful for designing strategies in market risk management and technical trading. A trading robot (a complete automated trading system) was developed using yin‐yang volatility, its performance is shown to be non‐trivial. The notion and model of yin‐yang volatility has opened up new possibilities to rewrite the option pricing formulas, the GARCH models, as well as to develop new comprehensive models for foreign exchange markets.

The asymmetry of price volatility and the magnitude of volatility in the scale space of price‐time has yet to be united in a more coherent model.

The new model of yin‐yang volatility and scale space of price‐time provides a new theoretical structure for financial market risk. It is likely to enable a new generation of core technologies for market risk management and technical trading strategies.

This work is original. The new notion and model of yin‐yang volatility in scale space of price‐time has cracked up the core structure of the financial market risk. It is likely to open up new possibilities such as: a new portfolio theory with a new objective function to minimize the sum of the absolute yin‐volatilities of the asset returns, a new option pricing theory using yin‐yang volatility to replace the symmetric volatility, a new GARCH model aiming to model the dynamics of yin‐yang volatility instead of the symmetric volatility, new technical trading strategies as are shown in the paper.

Conventionally, between 5 and 20 per cent of a portfolio is invested in real estate. Whether this is prudent diversification or not depends on whether property and other financial assets markets are integrated. The notion of market integration/segmentation across the economy is of central importance. Disturbances in market fundamentals in a given market generate movements of capital into and out of the affected market. If various markets are well integrated, then it is expected that a high degree of asset substitution will take place, such substitution having a significant impact on price fluctuations in the relevant market. On the other hand, if markets are not integrated, then this has significant implications for portfolio investment where managers seek to develop well‐diversified portfolios as a means of risk reduction. Recent literature has recognized the need to understand and measure the degree of market integration, and research has focused on techniques to do this. Studies have attempted to measure the degree of integration in money and bond markets, real assets markets and among international real estate investment trusts. Uses cointegration techniques to examine the extent to which physical real estate markets and financial assets markets are integrated. Tends to support the notion of market segmentation and, by default, supports the conventional wisdom of diversification between real estate and other financial assets.

Given the rising need for measuring and controlling of financial risk as proposed in Basel II and Basel III Capital Adequacy Accords, trading risk assessment under illiquid market conditions plays an increasing role in banking and financial sectors, particularly in emerging financial markets. The purpose of this chapter is to investigate asset liquidity risk and to obtain a Liquidity-Adjusted Value at Risk (L-VaR) estimation for various equity portfolios. The assessment of L-VaR is performed by implementing three different asset liquidity models within a multivariate context along with GARCH-M method (to estimate expected returns and conditional volatility) and by applying meaningful financial and operational constraints. Using more than six years of daily return dataset of emerging Gulf Cooperation Council (GCC) stock markets, we find that under certain trading strategies, such as short selling of stocks, the sensitivity of L-VaR statistics are rather critical to the selected internal liquidity model in addition to the degree of correlation factors among trading assets. As such, the effects of extreme correlations (plus or minus unity) are crucial aspects to consider in selecting the most adequate internal liquidity model for economic capital allocation, especially under crisis condition and/or when correlations tend to switch sings. This chapter bridges the gap in risk management literatures by providing real-world asset allocation tactics that can be used for trading portfolios under adverse markets’ conditions. The approach to computing L-VaR has been arrived at through the application of three distinct liquidity models and the obtained results are used to draw conclusions about the relative liquidity of the diverse equity portfolios.

This essay provides a non‐technical account of the development of thinking about the ways in which financial markets work. The account is organized by distinguishing between the “financial approach” and the “monetary approach” to the study of financial markets. The financial approach emphasizes the importance of arbitrage in determining financial asset prices. The monetary approach utilizes the more traditional tools of supply and demand, and places greater emphasis on the role of market imperfections. The essay evaluates the contribution of each approach to improving our understanding of financial markets. It concludes that the central problem in financial market research remains that of providing a satisfactory explanation of the determination of asset prices. In the emerging regime of liberalized, competitive financial markets both the financial approach and the monetary approach have a distinctive contribution to make in understanding how these markets work. This paper is based on research funded by the Economic and Social Research Council under grant No. B0023‐2151.

The annual general meeting (AGM) constitutes, at least in theory, one of the main instruments to ensure good corporate governance. It also involves the release of corporate information to the financial market. We have examined the effects of the AGM on the volatility of stock returns and on the volume of shares traded. We have investigated the informative role of the AGM in the Spanish stock market during the period 2003–2009. This chapter constitutes the first investigation of the issue in a civil-law country. Extant research is scarce and limited to two common-law countries: the United States and the United Kingdom, where the AGM has been found to involve the release of relevant information to the market. Nevertheless, since the influential paper by La Porta, López de Silanes, Shleifer, and Vishny (1998), evidence reported in common-law countries cannot be automatically extrapolated to countries with a different legal tradition. As expected our results indicate that the information content of the AGM is lower in Spain than in common-law countries. In fact, no relevant information is released during the AGM in the Spanish stock market. This result is robust to company characteristics like size and the level of insider shareholders within its capital. Our findings support that the AGM plays a less significant role in ensuring good corporate governance in civil-law compared with common-law countries.

The purpose of this paper is to originate a proactive approach for the quantification and analysis of liquidity risk for trading portfolios that consist of multiple equity assets.

The paper presents a coherent modeling method whereby the holding periods are adjusted according to the specific needs of each trading portfolio. This adjustment can be attained for the entire portfolio or for any specific asset within the equity trading portfolio. This paper extends previous approaches by explicitly modeling the liquidation of trading portfolios, over the holding period, with the aid of an appropriate scaling of the multiple‐assets' liquidity‐adjusted value‐at‐risk matrix. The key methodological contribution is a different and less conservative liquidity scaling factor than the conventional root‐t multiplier.

The proposed coherent liquidity multiplier is a function of a predetermined liquidity threshold, defined as the maximum position which can be unwound without disturbing market prices during one trading day, and is quite straightforward to put into practice even by very large financial institutions and institutional portfolio managers. Furthermore, it is designed to accommodate all types of trading assets held and its simplicity stems from the fact that it focuses on the time‐volatility dimension of liquidity risk instead of the cost spread (bid‐ask margin) as most researchers have done heretofore.

Using more than six years of daily return data, for the period 2004‐2009, of emerging Gulf Cooperation Council (GCC) stock markets, the paper analyzes different structured and optimum trading portfolios and determine coherent risk exposure and liquidity risk premium under different illiquid and adverse market conditions and under the notion of different correlation factors.

This paper fills a main gap in market and liquidity risk management literatures by putting forward a thorough modeling of liquidity risk under the supposition of illiquid and adverse market settings. The empirical results are interesting in terms of theory as well as practical applications to trading units, asset management service entities and other financial institutions. This coherent modeling technique and empirical tests can aid the GCC financial markets and other emerging economies in devising contemporary internal risk models, particularly in light of the aftermaths of the recent sub‐prime financial crisis.

The thinking of the philosopher Baruch Spinoza is gradually entering the field of social science. In this paper, we are particularly interested in applying his theory of affects to the analysis of passionate collective behaviours at work in the field of financial markets. The general hypothesis that underpins our work is the idea that, in a context of radical uncertainty about the future, the succession of common affect regimes translates into passionate sequences that determine investor behaviour and produce market dynamics. Using an analysis of the stock market cycles of Taffler, Bellotti, and Agarwal (2018), Taffler, Agarwal, and Wang (2019), we show that the Spinozist concept of common affects can help us to understand the mechanisms in the production of collective emotion and to account for the speculative dynamics at the origin of the great financial bubbles.

The purpose of this paper is to examine the short‐term reactions of stock prices to the announcement of earnings restatement by the public companies listed in the Toronto stock exchange in Canada.

The paper conducts an empirical study. For the purpose conducting the empirical study, a standard event study methodology has been utilized to examine the effect of restatement announcements on the stock returns. The dates of the announcement of restatement by each company have been collected and the effect of the announcement has been studied surrounding the announcement dates.

The results of empirical works indicate that, in general, the financial market reacts negatively to any restatement of earnings. This is evident from the fact that irrespective of the reasons for restatement, all restatements show a negative effect on the stock price. The impact of the restatement announcements is significant for all the prediction intervals. However, the long‐term reaction is more pronounced compared to short‐term reaction. In addition, the negative reaction is much higher for those reasons that are directly related to the earnings management than those that do not involve any active earnings management.

Since the paper investigates only one stock exchange, it may have a limited application in other financial markets. Similar researches can be undertaken for other financial markets different in size, scope or geographical location.

The findings of the paper may have broad implications both for individual investors and corporate executives. The decisions made by executives on restatements affect stock price and hence the investors' rate of return. Since the general effect of such restatement is negative on the stock returns, it may portray a negative perception about the company. Therefore, the paper has implications on the decisions made by both the investors and the corporate executives.

The paper studied the Canadian stock market which was not studied in the past to examine the reactions of restatement.

This paper aims to develop a conceptual framework, in an effort toward building a contingent theory of drivers and consequences of managerial metric use in marketing mix decisions, this paper develops a conceptual framework to test whether the relationship between metric use and marketing mix performance is moderated by firm and managerial characteristics.

Based on reviews of the marketing, finance, management and accounting literatures, and homophily, firm resource- and decision-maker-based theories and 22 managerial interviews, a conceptual model is proposed. It is tested via generalized least squares – seemingly unrelated regression estimation of 1,287 managerial decisions.

Results suggest that the impact of metric use on marketing mix performance is lower in firms which are more market oriented, larger and with worse recent business performance and for marketing and higher-level managers, while organizational involvement has a lesser nuanced effect.

While much is written on the importance of metric use to improve performance, this work is a first step toward understanding which settings are more difficult than others to accomplish this.

Results allow identification of several conditional managerial strategies to improve marketing mix performance based on metric use.

This paper contributes to the metric literature, as prior research has generally focused on the development of metrics or the linking of marketing efforts with performance metrics, but paid little attention to understanding the relationship between managerial metric use and performance of the marketing mix decision and has not considered how the relationship is moderated by firm and managerial characteristics.