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This study aims to focus on two-way interaction between monetary policy and house prices in emerging economies.

This study uses panel structural vector autoregressive model.

The results show that real house prices decrease in response to a contractionary monetary policy shock. However, relative to advanced economies, the reaction of the prices is limited in emerging economies, pointing out the structural differences in emerging economies including the small size of the mortgage market and the lack of a well-functioning secondary market in housing finance. This study further finds that monetary policy is tightened in response to a positive shock to house prices. However, this response is also weak when compared to that response in advanced economies.

These findings suggest that house price developments should not be prior target for monetary policies in emerging economies unless they become problem for financial stability or inflationary concerns.

Using a sample of inflation targeting emerging countries, this study contributes to the literature by conducting both panel setting and single-country analysis to explore the two-way dynamic relationships between the monetary policy and housing market in emerging economies.

The authors empirically aim to study the implications of uncertainty generated by oil price volatility on some key macroeconomic variables, including production, exchange rates and interest rates, of both oil-exporting and oil-importing countries. Using a block exogeneity structural Vector Auto Regression (VAR) model that mutes the effects of domestic variables on global factors and that is suitable for small open economies because of significant differences in the responses of domestic production in oil-importing countries will most likely decrease through reducing planning horizons, postponing investment projects and relocating resources more inefficiently.

The authors integrated into the structural vector autoregressive (SVAR) model the block exogeneity feature since all the countries in this study are small open economies that cannot influence the global economic variables. The block exogeneity feature imposes the restriction that the domestic variables have neither a contemporaneous nor a lagged impact on the global variables. This model has eight variables: oil price volatility, world demand and federal funds rate as the global variables; and domestic production, monetary aggregate, inflation rate, exchange rate and interest rate as domestic variables. The authors assemble the data for 12 developing countries for which the necessary data for the analysis are available: six oil exporting countries (Russia, Saudi Arabia, Iran, Kazakhstan, Mexico and Colombia) and six oil importing countries (Turkey, India, Philippines, Poland, South Africa and Indonesia).

The results point out significant differences in the responses of macroeconomic variables to oil price volatility shocks between oil-exporting and oil-importing countries. Furthermore, the local currencies of these countries depreciate due to concerns about possible current account worsening. In response to the shock, domestic interest rates are reduced so as to alleviate the negative exposure of the shock on domestic economic activity. While domestic production in some oil-exporting countries (i.e. Russia, Saudi Arabia and Iran) increases during oil price uncertainty; in some other countries (i.e. Mexico, Kazakhstan and Colombia), domestic production decreases.

Several components of the study contribute to its novelty. One of them is the period under consideration. The time frame that encompasses the most significant geopolitical and financial events, such as the Middle East Spring and the global financial crisis of 2007–2008. The research was conducted using the block-exogeneity SVAR model, which includes 12 oil exporting and importing developing countries. With this model, the global dynamics, particularly the energy market, that these nations may influence and are influenced by, i.e. global and nonglobal factors can be constrained. This makes it easy to determine the various effects prices have on macroeconomic variables.

1. Oil prices and volatility still matter to the global economy

2. Monetary and fiscal policy interventions in response to oil price volatility create uncertainty and impede investment activity

3. The response of macroeconomic variables to volatility shocks in oil prices varies across oil importers and exporters

4. Interest rates help stabilize production in oil-importing economies that have well-functioning financial markets

Oil prices and volatility still matter to the global economy

Monetary and fiscal policy interventions in response to oil price volatility create uncertainty and impede investment activity

The response of macroeconomic variables to volatility shocks in oil prices varies across oil importers and exporters

Interest rates help stabilize production in oil-importing economies that have well-functioning financial markets

Aims at finding out the senior managers' perceptions about the extent to which the components of KM contribute to the success of SMEs (small and medium enterprises) in Turkey.

In this paper, the current knowledge management practices in Turkish SMEs are searched through a survey. The survey is prepared depending on a basic model of knowledge management built by the author.

The results of the survey show that Turkish SMEs do not like to share knowledge even within the company. The managers are afraid of losing the control of knowledge. However, since they close the information channels, they also prevent the incoming knowledge.

This paper provides a basis for the research about knowledge management practices in SMEs in developing countries.

The purpose of this paper is to attempt to compare the performance of Islamic banks against conventional banks in Turkey. This comparison is much more distinctive and significant in Turkey when compared to other countries, as Turkey stands as a model for the world in interest-free banking system.

The comparative performance analysis was conducted by means of logistic regression method during the period of 2001-2009. The CAMELS approach is utilized to assess the managerial and financial performance of banks.

The results signify that Islamic banks operating in Turkey perform better in profitability and asset management ratios compared to conventional banks but lag in sensitivity to market risk criterion. These findings might mainly be ascribed to the fact that these banks allow lower provisional losses compared to conventional banks and have some tax advantages.

Utilizing a more recent and consistent data set, the analyses could be replicated to determine if the results are subject to any sample bias.

These finding reveal significant implications for potential entrants into Turkish banking sector particularly for foreign investors.

The findings from this study may reinforce the awareness and confidence in participating banks in Turkey.

Turkey is particularly interesting to conduct this analysis because Turkey is a Muslim but secular country and both Islamic and conventional banks are subject to same set of banking regulations which are based on Western traditional banking system. Furthermore, to the knowledge, there is not a comprehensive study that compares the performance of conventional and Islamic banks in a Western banking system.