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This paper aims to better understand if speculative activity is a factor or even the main factor in the run-up of oil prices in the spot market, particularly in the recent price bubble that occurred in the period from mid-2003 to 2008.

The methodology used is based on an existing vector autoregressive model proposed by Kilian and Murphy (2014), which is a structural model of the global market for crude oil that accounts for flow demand and flow supply shocks and speculative demand oil shocks.

From the output of the authors’ structural model, the authors ruled out speculation as a factor of rising oil prices. The authors have found instead that the rapid oil demand caused by an unexpected increase in the global business cycle is the most accurate culprit. Despite the change of perspective in the speculative component, the authors’ conclusions concur with the findings of Kilian and Murphy (2014) and others.

As far as the authors are aware, this is the first time that a study has used as a spread oil variable, a speculative component of the real price, replacing the oil inventories considered by Kilian and Murphy (2014). Another contribution is that the model used allows estimating traditional oil demand elasticity in production and oil supply elasticity in spread movements, casting doubt on existing models with perfect price-inelastic output for crude oil.

After the 2008 global financial crisis, the world has been through an improving economic integration. The scale of RMB cross-border transaction flows expands as well. Countries around China are gradually accepting the RMB as a means of trading and investing. Nowadays, the phenomenon of RMB substitutes the currencies of neighboring countries has become more and more widespread. As a frontier region for China's opening up to the outside world, Hong Kong's financial market is highly transparent with perfect infrastructures. The completion of the Hong Kong offshore RMB market leads to a rise of the RMB stock in Hong Kong, so there is a clear phenomenon of RMB substituting Hong Kong dollars (HKDs) in Hong Kong. This paper studies the substitution effect of RMB and HKD from both theoretical and empirical aspects, and puts forward policy recommendations based on the research results.

This paper aims to provide an overview of the market for corporate and sovereign credit default swaps (CDS), with particular focus on Europe. It studies whether the subprime crisis of 2007/2008 and, particularly, the European debt crisis 2009/2010 led to a differential development on corporate and sovereign CDS markets and investigates the primary use (speculative risk-trading or risk-hedging) of the two markets in recent years.

The authors use aggregate market data on the size of the respective markets and on the structure of market participants and their changes over time to assess the main research question. They enhance existing data from public sources such as the Bank for International Settlements and Depository Trust and Clearing Corporation with their own statistics on European sovereign CDS and combine their conclusions with observations regarding standardisation efforts and regulatory changes in the CDS market.

The authors show that after the subprime crisis 2007/2008 and the European debt crisis 2009/2010, the corporate and sovereign CDS markets developed quite differently. They provide evidence that since mid-2010, market participants started to use the sovereign CDS market more strongly for speculative purposes than for risk-hedging. This shows both in the shift of risk-quality of sovereign CDS contracts and in the changing structure of market participants. The ongoing standardisation and regulation in the CDS market – leading to further increases in transparency and reductions in transaction costs – may be expected to trigger a similar change also for corporate CDS.

Based on a broad variety of market infrastructure data, the authors show a diverging development of corporate and sovereign CDS markets in Europe in recent years. Particularly the sovereign CDS market appears to have shifted from a risk-hedging instrument to being used more strongly for speculative risk-trading. The authors combine their findings with recent regulatory action and market standardisation schemes and draw conclusions for the future development of CDS markets.

In 1975, private and social housing production in Chile started to become increasingly privatized, in parallel with capital switching into the secondary circuit due to severe deindustrialization of the country. Since then, housing demand has largely drawn on state housing subsidies aimed at middle- to low-income demand, but more recently, a growing financialized mortgage market has increased demand even further, enlarging the mortgage debt burden on Chilean households. Private housing producers achieve higher profits by increasing sales prices, whilst production costs are kept relatively stable by purchasing and developing the cheapest land available, both on the fringes and within the inner sectors of the main metropolitan areas, as a form of accumulation by dispossession in hitherto underexploited, non-commodified land. However, low purchase prices of land create housing unaffordability for numbers of original owner-residents who sell land to redevelopers but cannot then afford replacement accommodation given the soaring housing prices in the main metropolises. It is for this reason that some central areas become gentrified. Focusing on the case of high-rise redevelopment of inner-city areas in Santiago, Chile, this paper addresses the extent to which demand and private developers’ profits increase alongside the risks of a generalized growing level of household debt and the displacement of low-income communities from inner areas. The continuous expansion of the extremely privatized housing market of Santiago responds to the needs of capital expansion rather than to the people’s needs.

This paper aims to examine association of money demand with key macroeconomic variables in Pakistan. The paper also investigates the asymmetric effect of real effective exchange rate (REER) on money demand.

The study employs both linear autoregressive distributed lag (ARDL) and non-linear autoregressive distributed lag (NARDL) model. Annual data from 1970 to 2018 is used which is subjected to non-linearity through partial sum concept. Empirical analysis is conducted to prove if money demand is influenced by currency appreciation or depreciation, for long and short run.

Cointegration test indicates existence of a long-run relationship between money demand and its determinants. Results from NARDL model suggest negative relation between money demand and inflation in long and short run. Real income shows positive but a very minimal and insignificant effect on money demand in long and short run. Impact of call money rates is statistically significant and negative on M1 and M2. Wald tests and differing coefficient sign confirm presence of asymmetric relation of REER in long run with M2, whereas in short run we observe a linear, symmetrical relation of REER with M1 and M2. Stability diagnostic tests (CUSUM and CUSUMSQ) verify stability of M2 demand model in Pakistan.

Results signify that role of money demand is imperative as a monetary policy tool and it can be utilized to achieve objective of price stability. Additionally, exchange rate movements should be critically examined by monetary authorities to avoid inflationary pressures resulting from an increase in demand for broad monetary aggregate.

The paper contributes to scarce monetary literature on asymmetrical effects of exchange rate in Pakistan. Impact of variables has been studied through linear approach, but this paper is unique since it attempts to explore non-linear relationships.

This paper aims to provide the necessity to activate long-term exchange-traded derivatives (ETD) in Korea. In the era of aging, low interest rates and low economic growth, the investment demand for long-term financial products, and its hedging demand have steadily increased. Unfortunately, long-term ETD do not trade in Korea, and this study presents political suggestions to invigorate long-term ETD based on overseas cases and empirical analysis. Specifically, this study suggests the necessity to activate exchange traded funds (ETFs) options, long-term Korea treasury bond futures and options and long-term Volatility Index of Korea Composite Stock Price Index future and options. The introduction of those long-term ETD not only contributes to providing long-term investment and hedging vehicles but also reduces market inefficiencies in the Korean industry of ETFs, bonds and structured products.

The purpose of this study is to estimate different data models on house prices using statistical models and the variables which are controlled by real estate policy.

This study used several statistical techniques, such as Vector auto-regression (VAR), Johansen co-integration and variance decomposition, which aim to assess the significant effect of macroeconomic factors on Chinese house prices.

The results show that land supply and other variables have negative effects on house prices. The results also indicate that financial mortgages for real estate have positive effects on house prices and the area of vacant houses as well as the area of housing sold.

This study only covers three cities in China because of limitations of data for other cities.

This study proposes policy suggestions according to the empirical results obtained.

The purpose of this study was to investigate the dynamic interactive link between housing prices, stock market price and effective exchange rate in the Iranian economy for a monthly period from April, 2004, to March, 2019. In addition, for a more accurate analysis, three control and determinates variables including real interest rate, real GDP and FDI have been added to the base model.

For this purpose, we will consider this issue by developing the study of Lean & Smyth (2014), Ali & Zaman (2017) and Coskun et al (2017) in the framework of ADRL and NARDL models. Also, this study analyzed the asymmetric/non-linear impact of stock market indexes and effective exchange rate on Iran’s housing inflation. Asymmetries imply to both positive and negative changes in the variables.

The results obtained from the ADRL and NARDL models suggest that the existence of cointegration relationship between housing market price and its determinants. From linear model, we found that the exchange rate and stock market price have a positive effect on the real estate inflation in the short run; this relationship is also confirmed in the long run. Other empirical results indicate that the GDP stimulates housing price in both long and short run cases, while FDI and real interest rate have an opposite effect. In addition, the results provided by the asymmetric model lead to the rejection of the null hypothesis of no co-integration between the variables. In addition, we found that the effect of stock price in the short and long term are asymmetric and there also is an asymmetric long-run effect of real exchange rate on the real estate price.

Finally, to analyze the sensitivity, we entered two explanatory variables of inflation and money supply to the baseline equation. The finding represented that in both linear and nonlinear framework, a positive correlation between these two variables with housing prices have been proved.

In this chapter, we aim to analyze the housing market development in Czechia, in particular the development of housing prices over the last 25 years. We quantify and discuss three distinct periods of excessive growth of regional Czech housing prices, identified through the formation of large positive GAPs – (1) before the entrance of Czechia to the European Union (EU), (2) at the onset of the Global Financial Crisis GFC, (3) in 2021. In all these periods, we identify significant differences among regions. We find that GAPs above 15% may be considered an indication of unsustainable long-term housing price growth that will be followed by a correction.

We then employ fixed effect panel data model to determine the drivers of flat and house prices in 14 Czech regions. Our results show that wage growth, migration and crime rate are significant factors affecting the prices of both flats and houses. Nevertheless, the impact of GDP per capita and job market indicators differs between flats and houses. Moreover, we find that higher migration into the region increases the difference between the prices of houses and flats, while increasing GDP per capita growth and crime rate mitigate this difference significantly.

The collapse of the sub‐prime mortgage market parallels several earlier failures within the financial services sector, begging the question why the lessons of past failures were not learned. Throughout history from the tulip bulb crisis of the 1600s to the most recent economic crisis, decision‐makers keep making the same mistakes. This occurs in part because of a failure to recognize similarities between past and current events. This conceptual paper aims to use systems dynamics tools to examine the crisis and illustrate how seemingly independent events are linked.

The paper provides a fundamental review of systems thinking concepts and uses a tool of systems dynamics, causal loop diagrams (CLD), to provide a visualization of the dynamics of the sub‐prime market collapse over time. This approach provides insights that traditional analytic methods do not, which should be beneficial in understanding future cases where speculative demand drives behavior.

The paper uses the CLD tool to understand the evolution of the recent financial crisis. It finds that the dynamics of the collapse closely mirror many historic financial disasters (the paper cites several) and proposes the fundamental CLD of this phenomenon be elevated to a special category of the “limits to growth” archetype model. The paper makes this recommendation in the hope it will allow investors and policy makers to quickly recognize future speculative events when they happen again.

This paper argues that, despite the surface level uniqueness and complexity of the recent economic collapse, there is an underlying simplicity that links the recent collapse with speculative boom/busts going back over 400 years. The representation that the paper develops applies the language of systems thinking to the most recent financial crisis. A mental model of this system and the corresponding systems structure can be used to not only understand what happened, but also inform decision‐makers when similar speculative behavior occurs in the future.