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India is the major producer of Areca nut in the world. Volatile demand and price are the major challenges for the Areca nut growers in India. The use of time series models to manage the price risk has become the interest of academicians today. This paper deals with developing an appropriate model to predict the prices of a new variety of Areca nut in Karnataka using monthly price data for the period January 2009 to December 2018. Box Jenkins ARIMA methodology is used to develop the model. Along with ARIMA estimates, log-likelihood, Akaike’s information criterion (AIC) and Bayesian (BIC) information criterion statistics are also estimated to decide on the appropriate model. ACF and PACF correlograms for residuals of ARIMA are used to do the diagnostic check of the selected ARIMA model. Appropriate model to forecast the new variety Areca nut price is ARIMA (3, 1, 3)

The main aim of this article is to provide a critical but complex theoretical framework regarding Efficient Market Hypothesis (EMH). Efficient Market Hypothesis is considered the centerpiece of modern financial theory. This paradigm represented a significant progress in the investment area. However, it also has generated various criticisms and controversies. Empirical evidence rejected the existence of stock market efficiency in most cases, in particular semi-strong form and strong form of efficiency. Numerous research studies have investigated the practical applicability of Efficient Market Hypothesis. However, this theory still generates various controversies and polemics at the theoretical level.

The main objective of this research article is to investigate the concept of inefficient stock markets and their implications in the context of extreme financial events. The presence of correlations in the case of financial asset returns may be caused by a partial incorporation of information which generates a certain predictability of the stock markets behaviour. In other words, this aspect explains the inefficiency of the stock markets. This research paper also examined the impact of investment strategies based on international portfolio diversification. Moreover, in the context of market inefficiency, we analyzed the concept of Adjusted Market Inefficiency Magnitude (AMIM). [ABSTRACT FROM AUTHOR]

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THIS RESEARCH PAPER FOCUSES TO CAPTURE CHANGES IN STATISTICAL PROPERTY BEFORE AND AFTER THE COVID-19 PANDEMIC IMPACT. WE COLLECTED SAMPLE DATA FROM JANUARY 2018 TO SEPTEMBER 2021 FOR TWO RANDOMLY SELECTED STOCK MARKETS, SUCH AS: BELGIUM (BRUSSELS STOCK EXCHANGE) AND INDONESIA (JAKARTA STOCK EXCHANGE). THE MAIN OBJECTIVE OF THIS PAPER IS TO TEST CHANGES IN NORMALITY PATTERN CONSIDERING AUGMENTED DICKER FULLER TEST AND TO DEMONSTRATE CHANGES IN RETURN PLOTS USING LOESS FITNESS, AND WITH ESTIMATED DENSITY PLOTS. THE COVID 19 PANDEMIC HAD A SIGNIFICANT EFFECT ON THE BEHAVIOUR OF STOCK MARKETS, WHILE THE GLOBAL ECONOMY HAS BEEN SEVERELY AFFECTED. [ABSTRACT FROM AUTHOR]

The major aim of this empirical study is to estimate the volatility time series returns for a cluster of international stock markets, such as: Switzerland, Austria, China and Hong Kong. The paper demonstrates statistical modeleling in order to capture volatility clusters and changes in long and short term volatility impact. The econometric approch is based on randomly selected daily closing return collected for the main indices of stock markets in Switzerland, Austria, China and Hong Kong for the sample period January 2003 to September 2021. We used various statistical properties to test normalities based on using GARCH family models for estimating financial market volatility. Moreover, the sampled time interval includes two extreme events such as the global financial crisis (GFC) of 2007--2008 and the recent COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

The main aim of this research paper is to investigate fundamental paradigms in modern financial theory. Stock markets are characterized by a complex nonlinear dynamics that does not converge towards a known finality, respectively a result that can be anticipated or influenced, or at least reduced at the level of a limit cycle. In this context, the very concept of investment rationality reaches a completely different meaning. Thus, limited rationality replaces rational expectations. Financial investors are characterized by certain features. However, inherent deviations from rational investment behavior provide an indisputable empirical evidence regarding the existence of anomalies on the capital market. The classical finance paradigm incorporates the idea that rational investors select an efficient portfolio in order to obtain the highest long-term stock returns but the risk must not exceed the tolerable limit. On the other hand, behavioral finance theory argues that the decision-making process is definitely affected by psychological, affective and emotional factors. [ABSTRACT FROM AUTHOR]

The main aim of this paper is to provide a thorough observation for the past financial crises have been enlisted by discussing the past empirical studies with detailed discussion on the strategy adopted, crises covered, methodology implemented and the outcome of the study. For this purpose, most of the studies which are covered have been conducted between the late 1980s to early 2010s. Moreover, the covered studies are of various range that include from non-parametric to parametric, simple statistical to complex mathematical models, and the advanced computerized techniques. Thus this paper is an exhaustive approach to provide the comprehensive knowledge about the crises and the methods undertaken to gain knowledge even for common readers. [ABSTRACT FROM AUTHOR]

In this article, we provided a comprehensive discussion about the major financial crises and their details based on some major historical financial crises. The crises include the stock market crash of 1987, the Asian financial crisis of 1997, and the global financial crisis of 2007-08. The discussion is categorized into two sections. Under first section, the generation models for crises are discussed based on the timeline and their development. In the second section, each of the above mentioned crisis is discussed in details which include the situations prevailing before during and after the crisis and the lessons undertaken by the markets from those disastrous events. [ABSTRACT FROM AUTHOR]