We develop a deep learning model to detect emotions embedded in press conferences after the Federal Open Market Committee meetings and examine influence of detected on financial markets. find that, controlling for Reserve’s actions sentiment policy texts, positive tone voices Reserve chairs leads significant increases share prices. Other variables also respond vocal cues from chairs. Hence, how...

This study aims to find out empirically the effect of independent commissioners, institutional ownership and debt levels on firm value as proxied by Tobins Q. The sample used was 120 samples from 30 Infrastructure companies listed IDX for period 2017 2020 met criteria. method determining is based criteria or purposive sampling. data using classical test, multiple linear regression analysis hypo...

This paper evaluates the impact that investigation and regulation of the UK petrol industry has had on the profitability of the companies. Using a gross margin for petrol, we estimate a series of variable parameter autoregressive processes. The results demonstrate that the 1979 Monopolies and Mergers Commission investigation into the industry, caused a long-term decline in profit margins in the...

This paper considers an econometric approach to measuring substitutability of three types of energy, i.e. crude oil, electricity and diesel with capital and labour in the manufacturing sector of Greek industry during the period 1970]1990. A general dynamic framework is developed under the assumption that the structure of the production process is weakly separable in capital, labour and energy a...

The Mexican banking crisis of 1994]1995 has widely been interpreted as the victim of the balance-of-payments crisis, rather than its cause. After all, Mexican banks had been enjoying high capitalization ratios, deemed to be more than sufficient to deal with the increased risk of non-performing loans. This paper, however, suggests that to a large extent Mexican accounting practices } rather than...

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We provide predictions for DSGE models with incomplete information that are robust across structures. Our approach maps an incomplete-information model into a full-information economy time-varying expectation wedges and provides conditions ensure the rationalizable by some structure. Using our approach, we quantify potential importance of as source business cycle fluctuations in otherwise frict...

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We use microdata collected at the border and store to characterize price impact of recent US trade policy on importers, exporters, consumers. At border, import tariff pass-through is much higher than exchange rate pass-through. Chinese exporters did not lower their dollar prices by much, despite appreciation dollar. By contrast, significantly lowered affected foreign retaliatory tariffs. In sto...

U.S. imports and exports respond little to exchange rate changes in the short run. Pricing behavior has long been thought central to explaining this response: if local prices do not respond to exchange rates, neither will trade flows. Sticky prices and strategic complementarities in price setting generate sluggish responses, and they are necessary to match newly available international micro pr...