Portfolio Performance Measurement: a No Arbitrage Bounds Approach

This paper presents a new method to examine the performance evaluation of mutual funds in incomplete markets. Based on the no arbitrage condition, we develop bounds on admissible performance measures. We suggest new ways of ranking mutual funds and provide a diagnostic instrument for evaluating the admissibility of candidate performance measures. Using a monthly sample of 320 equity funds, we show that admissible performance values can vary widely, supporting the casual observation that investors disagree on the evaluation of mutual funds. In particular, we cannot rule out that more than 80% of the mutual funds are given positive values by some investors. Moreover, we empirically demonstrate that potential inference errors embedded in existing parametric performance measures can be of important magnitude.     

Maximum Eigenvalue Test for Seasonal Cointegrating Ranks*

The maximum eigenvalue (ME) test for seasonal cointegrating ranks is presented using the approach of Cubadda [Oxford Bulletin of Economics and Statistics (2001), Vol. 63, pp. 497–511], which is computationally more efficient than that of Johansen and Schaumburg [Journal of Econometrics (1999), Vol. 88, pp. 301–339]. The asymptotic distributions of the ME test statistics are obtained for several cases that depend on the nature of deterministic terms. Monte Carlo experiments are conducted to evaluate the relative performances of the proposed ME test and the trace test, and we illustrate these tests using a monthly time series.     

Using data envelopment analysis to measure the efficiency of not-for-profit organizations: A critical evaluation—comment

This note responds to Nunamaker (1985) who supposedly deals with deficiencies in Data Envelopment Analysis (DEA) as an approach for (1) measuring efficiencies of not-for-profit entities identified as Decision Making Units (DMUs) and (2) locating sources and amounts of inefficiencies in each of the inputs used and in each of the outputs produced by each DMU. Corrections and comments are offered with references supplied for interested readers who wish to examine more detailed treatments of the topics covered.     

Price clustering on the limit-order book: Evidence from the Stock Exchange of Hong Kong

We examine the clustering pattern in trade and quote prices on the electronic limit order book of the Stock Exchange of Hong Kong (SEHK). Earlier research into clustering focuses on transaction prices only. We study clustering on quote prices over a maximum of five queues on the limit order book. We observe an abnormally high frequency of even and integer prices in trade and quote prices for all tick size groups on the SEHK. The deeper quotes display stronger clustering than the best quotes, indicating that the farther away the quotes are from the best queue, the less information they carry. Our analysis further reveals that an extremely fine tick size itself works as a binding constraint to hinder the price resolution process. We also find that short sale prohibition imposed on the majority of stocks listed on the SEHK causes a significant bias in clustering towards the ask side of the limit order book. This implies that a short sale prohibition impairs efficient price discovery in the market.     

Have SFAS 166 and SFAS 167 improved the financial reporting for securitizations?

Critics have alleged that securitization accounting prior to 2010 was among the causes of the recent financial crisis. In response to this criticism, the Financial Accounting Standards Board (FASB) implemented two new accounting standards, SFAS 166 and SFAS 167, to improve the financial reporting for securitizations. Bank regulators have stated their belief that SFAS 166/167 will result in a consolidated balance sheet (and risk-based capital ratios based thereupon) that better reflects a bank's exposure to risk related to securitized assets. We document that, by ceding retained power or influence through the servicing/special servicing functions to third parties, SFAS 166/167 resulted in real effects to the extent that banks (particularly those that were weakly capitalized) achieved their accounting objectives in the post-SFAS 166/167 period through legitimate transaction structuring in line with the intent of the new rules. Further, we use capital market participants’ assessments of risk retention by sponsoring banks as a benchmark, and provide evidence consistent with bank regulators’ beliefs. In particular, following SFAS 166/167, equity investors of sponsoring banks do not consider (consider) as risk relevant securitized assets that receive off-balance sheet (on-balance sheet) treatment. Securitized assets that are consolidated under SFAS 166/167 exhibit the same risk relevance as assets that are not securitized, despite contractual provisions that would seem to imply substantial risk transfer.     

Exotic Passport Options

The Vanilla Passport Option is an insurance against trading loss. In this paper, we add various exotic features to the Vanilla contract and price the resulting financial products. The assumptions that we make are the same as the Black-Scholes ones and the resulting pricing equations are Hamilton-Jacobi-Bellman type equations or parabolic free boundary PDE's which can be solved via finite difference methods.     

Some Methodological Issues on Estimating Foreign Exchange Exposure of US Multinational Firms: Evidence from the Asian Crisis

Abstract

This article asks whether sample specification of firm, period, and exchange rate matters in estimating foreign exchange exposure of US multinational firms. By sampling US firms that had Asian sales and assets from 1996 to 1998, we find that the firms’ returns are more likely to be significantly exposed to the Asian-oriented exchange rate changes for the Asian crisis, when the exchange rate changes were unexpectedly sizable. Also, by examining firms’ exposure in the share of Asian sales and assets, we find that the firms are more exposed as their operations are more involved in the Asian region.     

Real Exchange Rate Dynamics in the Asian Economies: Can Regime Shifts Explain Purchasing Power Parity Puzzles?

Abstract

We show that the strong version of the purchasing power parity (PPP) hypothesis holds in most of the US dollar real exchange rates using cointegration method that accounts for breaks in the models. The break dates in seven of the Asian currencies coincide with the two rounds of currency depreciation recorded during the 1997–1998 financial crises. We obtain a mean half-life estimate of about 10 months for PPP to converge to its long-run equilibrium level. Our confidence intervals based on persistence profile approach for the half-lives is much narrower than previous evidence might indicate. Taken together, these results show that mean reversion is stronger than commonly thought.     

Reassessing the productivity gains from trade liberalization

This paper reassesses the impact of trade liberalization on productivity. We build a new, unique database of effective tariff rates at the country‐industry level for a broad range of countries over the past two decades. We then explore both the direct effect of liberalization in the sector considered, as well as its indirect impact in downstream industries via input linkages. Our findings point to a dominant role of the indirect input market channel in fostering productivity gains. A 1 percentage point decline in input tariffs is estimated to increase total factor productivity by about 2 percent in the sector considered. For advanced economies, the implied potential productivity gains from fully eliminating remaining tariffs are estimated at around 1 percent, on average, which do not factor in the presumably larger gains from removing existing non‐tariff barriers. Finally, we find suggestive evidence of complementarities between trade and FDI liberalization in boosting productivity. This calls for a broad liberalization agenda that cuts across different areas.