QFII对中国证券市场影响的实证研究

我国施行QFII制度，外资进入中国A股市场的大门正式打开。本文利用GARCH（1，1）模型研究了，QFII对我国证券市场和投资基金的影响。结果表明，QFII后证券市场和投资基金的波动加大了，波动的持续性增加了，但是QFII对中国证券市场的整体影响还不大。     

The puzzling dual of the uncovered interest parity puzzle evidence from Pacific Rim capital flows

International financial arbitrage should prevent the existence of non-zero expected returns when borrowing in one currency and lending in another implying that interest differentials should predict exchange rate movements. The failure of interest differentials to act as an unbiased predictor of future exchange rate movements is referred to as the uncovered interest parity puzzle. This paper explores whether capital flows respond to these interest differentials in the context of a model in which dynamic adjustment costs keep capital from flowing immediately across borders. The paper finds little or even a negative relationship between expected excess returns on exchange rate adjusted U.S. money market rates (relative to domestic interest rates) and capital flows to the U.S. from Australia, Canada, Japan or Korea.     

A prototype model of the foreign exchange market of Canada: Forecasting capital flows and exchange rates

A balance-of-payments structural model of the foreign exchange market of Canada, endogenizing capital flows, the spot and forward exchange rates and the entities of the monetary sector, is developed using quarterly data for 1971–81. The capital flows have been disaggregated into ten categories and the exchange rates of the Canadian dollar have been analysed against five major currencies. While the model does not adhere strictly to purchasing power or interest rate parity, it does recognize them and it also incorporates other economic fundamentals, expectations and risk. Government interventions, although generated endogenously, are quantified implicitly and globally. The model tracks the post-Bretton Woods in-sample experience and generates ex post predictions reasonably well.     

中国碳排放试点市场碳交易价格分析及预测

对试点市场碳价格分析结果表明:①试点市场碳价格平均水平相差较大,各市场数据均出现尖峰厚尾、波动率集聚、多重分形特征;②试点市场月均价分析过程中,发现新的碳排放市场的建立会对各个碳市场交易价格有提升作用,免费碳排放配额比例的适当调整有利于碳排放配额交易价格下降,碳排放市场核算与核查体系的逐步完善会使碳排放配额交易价格趋于平稳。本文采用马尔科夫转换多重分形模型对碳价格进行预测,得出了准确度较高的结果。     

Volatility of capital flows and financial liberalization: Do specific flows respond differently?

This paper examines the volatility of capital flows following the liberalization of financial markets. Utilizing a panel data set of overlapping data, the paper focuses on the response of foreign direct investment, portfolio flows, and other debt flows to financial liberalization. The financial liberalization variable comes from the chronology and index developed by Kaminsky and Schmukler [Kaminsky, G.L. and Schmukler, S.L., 2003, Short-run pain, long-run gain: The effects of financial liberalization, IMF Working Paper WP/03/34.]. Different types of capital flows are found to respond differently to financial liberalization. Surprisingly, portfolio flows appear to show little response to capital liberalization while foreign direct investment flows show significant increases in volatility, particularly for the emerging markets considered.     

Do misalignments predict aggregated stock-market volatility?

This paper considers forecasting regressions of “realized volatility” on a misalignment measure. Results show that this misalignment measure is useful to predict in and out-of-sample stock-market volatility at monthly horizons. The analysis also suggests a threshold effect.     

Does Financial Sector Development Augment Cross-Border Capital Flows?

ABSTRACT

The sharp increase in volatility of capital flows in recent years has resulted in many countries altering the regulations governing the flow of foreign capital only to find such changes having a limited impact. We postulate that one reason for the limited effectiveness of such changes in regulations is the level of financial sector development in the country. As a country enhances its level of financial sector development, it also develops more and more sophisticated financial instruments. The more advanced the domestic financial instruments are, and the deeper is the integration of the domestic financial markets with the world markets, the greater is the likelihood of developing strategies to bypass capital account management measures. In this paper, we use various empirical techniques to identify the impact of financial sector development on capital flows, after accounting for regulatory regime. The empirical results indicate that there is a threshold effect in the financial sector development capital flow relationship. In particular, financial sector development augments greater integration with global capital flows only above a threshold level. Below the threshold level we find financial development reduces the extent of integration with global capital markets.     

Does VIX or volume improve GARCH volatility forecasts?

This article considers whether the inclusion of two additional variables can improve volatility forecasts over a standard GARCH-based model. We consider three alternative ways of incorporating the volatility index (VIX) and trading volume as exogenous variables within a selection of GARCH models. We are particularly interested in whether these variables have additional incremental forecast power over and above the baseline GARCH specification. Our results suggest that both the VIX and volume do provide some additional forecast power, and this is generally improved when considering both of these series jointly in the model. However, while the results may be statistically significant the gain is marginal and the coefficient values small. Moreover, in a horse race exercise VIX does not outperform the GARCH approach. In answering the question of whether VIX produces better forecasts than the GARCH model, then the answer is no, but the informational content of VIX cannot be ignored and should be incorporated into forecast regressions.     

Modelling exchange rate volatility with random level shifts

Recent literature has shown that the volatility of exchange rate returns displays long memory features. It has also been shown that if a short memory process is contaminated by level shifts, the estimate of the long memory parameter tends to be upward biased. In this article, we directly estimate a random level shift model to the logarithm of the absolute returns of five exchange rates series, in order to assess whether random level shifts (RLSs) can explain this long memory property. Our results show that there are few level shifts for the five series, but once they are taken into account the long memory property of the series disappears. We also provide out-of-sample forecasting comparisons, which show that, in most cases, the RLS model outperforms popular models in forecasting volatility. We further support our results using a variety of robustness checks.     

On the effectiveness of capital controls during the Great Recession: The Brazilian experience (2007–2013)

In this study, we analyze the impact in Brazil of a tax on external capital flows called “Imposto Sobre Operações Finaceiras” (IOF), by following data on a monthly basis from 2007 to 2013. Our goal is to determine whether a change in tax legislation can produce significant effects on the pattern of financial inflows from abroad. Using univariate structural models, our results show that changes in the IOF produced structural breaks on foreign portfolio investments.     

Forecasting realized volatility of crude oil futures with equity market uncertainty

This paper examines whether the equity market uncertainty (EMU) index contains incremental information for forecasting the realized volatility of crude oil futures. We use 5-min high-frequency transaction data for WTI crude oil futures and develop six heterogeneous autoregressive (HAR) models based on classical HAR-type models. The empirical results suggest that EMU contains more incremental information than the economic policy uncertainty (EPU) for forecasting the realized volatility of crude oil futures. More importantly, we argue that EMU is a non negligible additional predictive variable that can significantly improve the 1-day ahead predictive accuracy of all six HAR-type models, and improve the 1-week ahead forecasting performance of the HAR-RV, HAR-RV-J, HAR-RSV, HAR-RV-SJ models. These findings highlight a strong short-term and a weak mid-term predictive ability of EMU in the crude oil futures market.