Markets Record High: The Case of Speculative Bubbles
Overvaluation on financial markets, high price volatility and quite rapid reduction of emerging markets towards an investment behavior field in terms of predictive estimation and forecast of further market changes. Hereby decision-making basis is a personal investment understanding and, due to favorable business climate, could build up the growth of irrational exuberance and speculative bubbles on financial markets.
This study models Market Certainty Index as a measure of asset overpricing and market overvaluation in terms of a speculative bubble concept. The results also provide insights of how to enhance the facility of overpriced assets studies at non-transparent economies or emerging markets.
The article examines the role of the "green" shareholders in the formation of the company's responsible corporate policy. The article defines the main effects of the activities of the "green" investors, highlights their non-financial gains. Based on the analysis of French "green" investment funds and the "green" investors activities, the development of ethical economy in Russia is forecasted, where the role of a catalyst is to be taken over by the state, as it has been done in France.
Econophysics is a relatively new discipline. It is one of the most interesting and promising trends in modeling complex economic systems such as financial markets. In this paper we use the approach of econophysics to explain various mechanisms of price formation in the stock market. We study a model, which was proposed by Jean-Philippe Bouchaud and Dietrich Stauffer (Bouchaud 2002; Chang et al. 2002; Stauffer 2001; Stauffer and Sornette 1990), and used to describe the agents’ cooperation in the market. The most important point of this research is the calibration of the model, using real market conditions to proof the model’s possibility of setting out a real market pricing process
The question about possibilities to use Twitter users’ moods to increase accuracy of stock price movement prediction draws attention of many researchers. In this paper we examine the possibility of analyzing Twitter users’ mood to improve accuracy of predictions for Gold and Silver stock market prices. We used a lexicon-based approach to categorize the mood of users expressed in Twitter posts and to analyze 755 million tweets downloaded from February 13, 2013 to September 29, 2013. As forecasting technique, we select Support Vector Machines (SVM), which have shown the best performance. Results of SVM application to prediction the stock market prices for Gold and Silver are discussed.
Writing the paper on the eve of the G20 summit in Cannes, the author expressed a view that except for French President Sarkozy, no one should be surprised by a disappointing outcome in Cannes. More importantly the author argues that this does not mean that the world economy will not be rebalanced just because the G-20 did not ordain the solution. Unsustainable imbalances will eventually be adjusted by economic forces. Refraining from meaningful and urgent collective action, the G-20 leaders choose to let the world rebalance itself more chaotically, with the inevitable result of making things harder for each other. This is not a collective leadership but a joint abdication of responsibility. To prove its usefulness, the G-20 must do more than help old and emerging economic powers agree to disagree. The paper asserts that if the G20 fails the test, it is only a matter of time when the new creditors will see it as in their individual interests to make common cause either to reform existing institutions or to create new ones free of the dominance of the debtor countries. The author concludes that we can only hope that a new grouping of major creditors arrives as the successor to the G-20 in time to avert a replay of the 1930s. The publication is prepared within the framework of a joint project of Russian International Affairs Council (RIAC) Project and International Organizations Research Institute of the NRU HSE "Increasing Effectiveness of Russia's Participation in G8, G20 and BRICS in accordance with Russian Priorities and National Interests".
We develop a model of asset pricing and hedging for interconnected financial markets with frictions – transaction costs and portfolio constraints. The model is based on a control theory for random fields on a directed graph. Market dynamics are described by using von Neumann – Gale dynamical systems first considered in connection with the modelling of economic growth [13,24]. The main results are hedging criteria stated in terms of risk-acceptable portfolios and consistent price systems, extending the classical superreplication criteria formulated in terms of equivalent martingale measures.
The article focuses on analysis of the main factors that influence the volume of commodities export and import in BRICS countries. As a key factor destabilizing the trade in commodities during the period of 2007 – 2011 the author identifies price volatility. The author analyses key measures, undertaken by BRICS governments at the national and international level. The author makes a forecast on the future role of BRICS in stabilizing the international trade in commodities and in contributing to food security.
Increasing volatility on financial markets, uncertainty about Greece's debt restructuring and economic slowdown, and currency depreciation in the CIS region have put growth prospects in Poland and Latvia at risk. However, Poland has more flexibility to respond to these challenges, as it has an independent monetary policy and weaker links with the CIS.