The impact of subprime mortgage on correlation between stock and FX markets

Our researching period contains the American subprime mortgage crisis, an insignificant financial crisis and the Asian financial crisis periods. We analyse and compare the interrelations between the stock and Foreign Exchange (FX) markets in Taiwan by the daily data of stock prices and NTD/US exchange rates. The empirical results found that there is no effect on the long-term equilibrium between the stock and FX markets during the American subprime mortgage crisis. It also shows that, whether financial crisis occurs or not, there is no cointegration between the stock and FX markets. Furthermore, the results find that there exists bidirectional causality between the stock and FX markets among the American subprime mortgage crisis and the Asian financial crisis period. However, there is only unidirectional relationship from stock prices to exchange rates during insignificant financial crisis period. Such results imply that two financial crises do significantly affect the short-term interrelationships between the stock and FX markets and lead to more importance for the connection between two markets.     

RELATIONSHIPS AMONG STRATEGIC COMMODITIES AND WITH FINANCIAL VARIABLES: A NEW LOOK

We examine the comovements among the prices of four strategic commodities that have long, adequate daily series: oil, gold, silver, and copper as a group. We also explore their causal relationships with two commodity-relevant macrofinancial variables: interest and exchange rates as an expanded group to shed some light on the prediction behaviors of those individual commodity prices relative to the selected financial variables. In the expanded group, the selected interest rate can provide a transmission link between commodity prices and the dollar exchange rate. The results and their policy implications are discussed at length . ( JEL C51, E27, Q43)     

Psychology,Stock/FX Trading and Option Prices

The financial crisis of 2008 had many putative causes where psychology was an important driver for human decisions. However, quantitative financial models have no “knobs” to dial psychology parameters, and so arguably cannot possibly cope with financial crises. Here we take a first step by considering how a particular aspect of psychology can influence an underlying security and subsequent option prices, in a quantitative model. We investigate how psychological regret and fear impact trading selling behavior and induces changes in underlying security prices. We then consider the resulting changes in option prices with empirical evidence.     

Liquidity and Twin Crises

This paper proposes a simple analytical framework for understanding 'twin crises'– i.e. crises where a currency crisis and banking crisis occur simultaneously and reinforce each other. The distinguishing feature of such crises is the spill‐over effects across financial institutions through collateral constraints, declines in market values of assets, currency mismatches on the balance sheet and the endogenous amplification of financial distress through asset sales. We explore the role of liquidity and the role of monetary policy in such crises. In particular, a central question is whether raising interest rates in the face of a twin crisis is the appropriate policy response. Raising interest rates has two countervailing effects. Holding the domestic currency becomes more attractive (other things being equal), but the value of the domestic banking system falls due to the fall in asset prices. When assets are marked to market, there is a potential for endogenously generated financial distress that leads to a collapse of asset prices, as well as the exchange rate. It is thus possible that raising interest rates can have the perverse effect of exacerbating both the currency crisis and the banking crisis.     

Are gold bugs coherent?

We use wavelet models to surface the relationship between gold miners stock prices and the price of gold. We find that there is little relationship in the short run but some significant and long-standing long-run relationships. Gold prices appear to lead gold miner stock prices.     

Bank loan versus financial lease: how do traditional and innovative approaches within the banking sector influence economic growth? A comparative analysis between the US and China

ABSTRACT

The argument over the effects of financial structures on economic growth remains unsettled. This study, therefore, compares the dynamic correlation and lead–lag relationship between the different financial approaches within the banking sector (that is, traditional bank loans versus innovative financial leasing) and economic growth. We employ a continuous wavelet analysis using time-series data from 1982–2017 from the US (the world’s largest developed country) and China (the world’s largest developing country). The empirical results show that (1) episodes of significant correlation usually emerge during periods of reform, crisis or policy implementation; and (2) in China, traditional banking promotes economic growth in the long term, while the real economy only imputes the evolution of banks during critical economic reforms in the short term. Meanwhile, financial leasing could only promote the development of the real economy under suitable regulation; and (3) in the US, before the crises, the irrational growth of the real economy could increase bank assets, while during the crises, the traditional banking approach harms economic growth, and after the crises, financial leases play an important role in recovery. Therefore, we suggest that policymakers should establish adequate policies and regulations to solve the situation.     

Fancy Bitcoin and conventional financial assets: Measuring market integration based on connectedness networks

We investigate the relationship between Bitcoin and conventional financial assets from a perspective on the connectedness of asset networks. We adopt the method of measuring connectedness proposed by Diebold and Yilmaz (2009, 2012, and 2014) in a VAR system to study the dynamic interdependence between returns in Bitcoin, stocks, oil, and gold. We find that the connectedness between bitcoin and conventional assets is weak. The separation of positive and negative returns in the Bitcoin market shows the existence of an asymmetric pattern of the spillover effects between Bitcoin and conventional assets. A rolling window analysis finds that although Bitcoin prices experience a rising link to other financial assets, the magnitude is proven to be moderate. However, connectedness via negative returns is much stronger than via positive ones and exhibits a clearly increasing trend in recent periods. Our results in application are generally robust to other popular cryptocurrencies, such as ETH and Ripple. The findings presented in this paper have important implications for financial market participants, policymakers, and researchers in light of projected increases in the adoption of Bitcoin, as well as the rapid development of cryptocurrency.     

Do financial distress and liquidity crises affect value and size premiums?

This study investigates the impact of liquidity crises on the relationship between stock (value and size) premiums and default risk in the US market. It first examines whether financial distress can explain value and size premiums, and then, subsequently, aims to determine whether liquidity crises increase the risk of value and size premium investment strategies. The study employs a time-varying approach and a sample of US stock returns for the period between January 1982 and March 2011, a period which includes the current liquidity crisis, so as to examine the relationship between default risk, liquidity crises and value and size premiums. The findings indicate that the default premium has explanatory power for value and size premiums, which affect firms with different characteristics. We also find that liquidity crises may actually increase the risks related to size and value premium strategies.     

Stability periods between financial crises: The role of macroeconomic fundamentals and crises management policies

This study aims to identify which factors explain why some countries enjoy long durations of stability, while others experience crises in shorter intervals. We analyze the duration of stability periods between currency, debt, and banking crises by employing an innovative econometric strategy, the Finite Mixture Model (FMM). Real and financial variables show high predictive power for stability spells between currency crises. Regarding debt crises, the real interest rate is observed to be the best predictor. The time between systemic financial crises appears to be prolonged through government interventions and through IMF program participation, while bank recapitalization has a negative impact.     

Financial Globalization,Financial Crises,and the External Portfolio Structure of Emerging Markets*

We study the transitional dynamics of financial integration in emerging economies using a two‐sector model with a collateral constraint on external debt and trading costs incurred by foreign investors. The probability of a financial crisis displays overshooting; it rises sharply initially and then falls sharply, but remains non‐zero in the long run. While equity holdings fall permanently, bond holdings initially fall, but rise after the probability of a crisis peaks. Conversely, asset returns and asset prices first rise and then fall. These results are in line with the post‐globalization dynamics observed in emerging markets, and the higher frequency of crises that they display.     

Channels of financial market contagion

This study aims to fill a gap in the current literature by determining which channels of financial contagion are the most significant in transmitting crises between countries. Initial results, using χ² contingency tables, indicate that there is a significant relationship between contagion and the inflation rate and between contagion and financial liquidity. A simultaneous comparison of the channels is then performed using a series of best subset logit regressions. These suggest that a combination of high inflation and an emerging market classification form the most significant subset in increasing the probability of a contagious event.     

Fire‐sale FDI? The Impact of Financial Crises on Foreign Direct Investment

We analyze the evolution of foreign direct investment (FDI) inflows to developing and emerging countries around financial crises. We empirically examine the Fire‐Sale FDI hypothesis and describe the pattern of FDI inflows surrounding financial crises. We also add a more granular detail about the types of financial crises and their potentially differential effects on FDI. We distinguish between mergers and acquisitions (M&A) and greenfield investment, as well as between horizontal (tariff jumping) and vertical (integrating production stages) FDI. We find that financial crises have a strong negative effect on inward FDI in our sample. Crises are also shown to reduce the value of horizontal and vertical FDI. We do not find empirical evidence of fire‐sale FDI; on the contrary, financial crises are shown to affect FDI flows and M&A activity negatively.     

The effect of financial liberalization on banking sector stability

Several studies indicate that financial liberalization increases likelihood of a financial crisis without distinguishing between a normal period, unstable period preceding the onset of banking panics and crisis/post period. We explain in this paper the relationship between financial liberalization and banking sector vulnerability. Then, we argue that banking sector turmoil is most likely to occur after an intermediate degree of liberalization. Using a recently updated dataset for financial reforms, we find an inverted U-shaped relationship between liberalization and the likelihood of banking crisis for a sample of 49 countries between 1980 and 2010. We used a multinomial logit model in order to take into account what is called the ‘post crisis bias’. We ask whether the relationship remains when institutional characteristics of countries and dynamic effects of liberalization are considered. The empirical results indicate that the relationship between liberalization and banking sector stability depends strongly on the strength of capital regulation and supervision. With very weak regulation and supervision, the probability of banking crises is increasing with liberalization but this relationship is reversed as regulation and supervision become significant. The most important type of liberalization in relation to banking crises seems to be operational. A policy implication is that positive growth effects of liberalization can be achieved without increasing the risk of a banking fragility if appropriate institutions are developed.     

Political Regimes and Currency Crises

This paper examines the relationship between political regime type and currency crises. Some theories suggest that democratic regimes, owing to their greater political transparency and larger number of veto players, should have a lower risk of currency crisis than dictatorships. Alternative arguments emphasize the advantages of political insulation and rulers with long time horizons, and imply that crises should be most likely in democracies and least common in monarchic dictatorships. We evaluate these competing arguments across four types of political regimes using a time‐series cross‐sectional dataset that covers 178 countries between 1973 and 2009. Our findings suggest that the risk of currency crisis is substantially lower in monarchies than in democracies and other types of dictatorship. Further analyses indicate that the adoption of prudent financial policies largely account for this robust negative association between monarchies and the probability of currency crises. This suggests that political regimes strongly influence financial stability, and perverse political incentives help explain why currency crises are so common.     

A boosting approach to forecasting gold and silver returns: economic and statistical forecast evaluation

We use a boosting algorithm to forecast the returns of gold and silver prices. We then study the implications of using different information criteria to terminate the boosting algorithm in terms of the statistical and economic performance of a forecasting model. Our findings demonstrate that information criteria that select parsimonious forecasting models perform better in statistical terms than information criteria that select relatively complex forecasting models, but this good performance does not necessarily survive an economic performance evaluation.     

中国黄金期货与黄金现货价格的实证分析

意旨探索中国黄金现货价格对黄金期货价格形成的作用机制。借助ADL模型和共同因子贡献法进行实证分析,研究了中国黄金期货价格与黄金现货价格的关系。研究表明,中国黄金期货价格与现货价格长期趋势是一致的,但是短期存在比较大的偏差,同时中国黄金期货和现货价格波动率序列之间有较高的依存度。由此中国黄金期货市场已具备一定规避风险的功能。     

Liberalization,Regulatory Delays and Vulnerability to Systemic Banking Crisis

This work aims at contributing to the improvement of the early warning systems of banking crises using a new approach accounting for model uncertainty. We show that a multinomial logit model based on Bayesian model averaging (BMA) is a good strategy to predict banking crisis. To do this, we argue that differences in vulnerability to banking crisis can be largely explained by an asymmetry between financial market evolution and regulation update on a sample of 49 developed and developing countries between 1980 and 2010. When markets are liberalized, competition pushes bankers to take more risks and take advantage of regulatory delays thus increasing crises probabilities. Our empirical evidence supports that crisis probability is higher in country liberalizing their banking system when regulation is not updated. We developed an early warning system for systemic banking crises based on the multinomial logit model. Its main difference to existing prediction models and its contribution to the literature is that it is intended to identify and resolve what is called by Bussiere and Fratzscher [(2006). Towards a new early warning system of financial crises. Journal of International Money and Finance, 25(6), 953–973] as post-crisis bias in binomial models and to develop a new methodology of leading indicators selection based on BMA. Overall, our model predicts all banking crises during our sample period.     

石油与黄金产业价格联动关系研究

2002-2006年石油与黄金产业价格变动之间的关系可以用格兰杰因果关系进行检验,并根据格兰杰表示定理建立石油与黄金价格联动之间的误差修正模型来考察二者之间的长期关系和动态关系.本文认为石油价格和黄金价格上涨之间是单向的,从石油价格上涨到黄金价格上涨的因果关系,而且这种关系是长期稳定的,并没有随时间而发生结构性变化.     

The Impacts of Land and Real Estate Price Fluctuations on Financial Stability: Evidence from China

We construct a provincial financial stability index, and use panel vector autoregression to construct a model for empirical testing. We find that local governments' reliance on land grant premiums amplifies the impact on financial stability. In addition, the relationship between the real estate market and the financial system allows real estate price fluctuations to significantly affect market participants, further impacting financial system stability. Finally, in the eastern region, land price fluctuations have a less adverse impact on financial stability, while in other regions, rising commodity real estate prices are the biggest threat to financial stability.     

Lessons from the crisis in Finland and Sweden in the 1990s

This paper discusses the lessons of the Nordic financial crisis which hit Sweden and Finland in the beginning of the 1990s. The main causes of this exceptionally deep recession were the deregulation of the financial markets in the 1980s and the subsequent overheating, during which the asset prices and debts doubled. The consequences of the bursting of this financial bouble were currency and banking crises, collapsing asset prices, mass unenployment and large fiscal deficits. There are some lessons which can be learnt by analyzing these events, and they are presented in this paper. Among the lessons are the importance of asset prices and wealth effects to the stability of the whole financial system.