What drives Yen interventions in Tokyo?: Do off-shore foreign exchange markets matter more than Tokyo market?

We investigate the Bank of Japan's (BOJ) Yen interventions for the period 13 May 1991 to 16 March 2004. The previous literature has been hampered by the coarse daily data and has been unable to identify intervention determinants beyond some embodiment of the first moment of Yen returns. We consider both lagged overnight off-shore (London and New York) and intradaily on-shore (Tokyo) market developments for their heterogeneous influences on the BOJ's intervention decisions. Using a friction model to estimate the reaction function, we find that the interventions were leaning against the wind during the Tokyo hours, in general. Prior to June 1995, there were significant responses to previous day's intradaily Yen returns and volatility. Post-1995, we report a broadening in the BOJ's monitoring to include overnight off-shore Yen returns until Dec 2002 and a broader measure of market disorderliness measured as a transactions cost band in one-month covered interest rate parity condition since Jan 2003. Moreover, there is some evidence that the BOJ secretly leaned into the wind in response to Yen depreciations during the recent period of 2003–2004.     

Competition and productivity in Japanese manufacturing industries

This paper examines the determinants of productivity in Japanese manufacturing industries, looking particularly at the impact of product market competition on productivity. Using a newly available panel data on around ten thousand firms in Japanese manufacturing for the years 1994–2000, I show that competition, as measured by lower level of industrial price–cost margin, enhances productivity growth, controlling for a broad range of industrial and firm-specific characteristics. Moreover, I suggest that market power, as measured by either individual firm's price–cost margin or market share, has negative impact on productivity level of R & D performing firms. J. Japanese Int. Economies 19 (4) (2005) 586–616.     

Hedging role of stablecoins

Wild price fluctuations of cryptocurrencies make it difficult for investors to maintain stable asset values. This study investigates the hedging properties of US dollar (USD)-pegged stablecoins against bitcoin returns. We analyzed the hedging abilities of the three largest stablecoins—namely, Tether, USD Coin, and Binance USD—using the dynamic conditional correlation–generalized autoregressive conditional heteroskedasticity, dummy variable regression, vector autoregression, and impulse response functions. We found that stablecoins are generally negatively correlated with bitcoin returns, indicating that they can be effective hedging instruments against high-volatility crypto assets. Among the stablecoins, Binance USD offers the largest risk reduction, and Tether was a weak safe haven during the COVID-19 crisis period. Crypto investors can diversify their portfolios by holding stablecoins.